SlideShare une entreprise Scribd logo
1  sur  22
Télécharger pour lire hors ligne
Industrial	
  Strength	
  QM/MM:	
  Computa8onal	
  high	
  throughput	
  	
  
       screening	
  of	
  enzyme	
  ac8vity	
  in	
  enzyme	
  mutants	
  
               Jan	
  H.	
  Jensen,	
  Mar$n	
  Hediger,	
  Luca	
  De	
  Vico,	
  Kasper	
  Primdal,	
  	
  
                                 Allan	
  Svendsen,	
  Werner	
  Besenma=er	
  

                                               Department	
  of	
  Chemistry	
  
                                               University	
  of	
  Copenhagen	
  



                                    Slides	
  at:	
  h=p://Fnyurl.com/bsqbojf	
  




             MarFn	
  R.	
  Hediger,	
  Luca	
  De	
  Vico,	
  Allan	
  Svendsen,	
  Werner	
  Besenma=er,	
  Jan	
  H.	
  Jensen	
  	
  
     “A	
  ComputaFonal	
  Methodology	
  to	
  Screen	
  AcFviFes	
  of	
  Enzyme	
  Variants”	
  PLoS	
  ONE,	
  submi=ed.	
  
                                                  h=p://arxiv.org/abs/1203.2950	
  
Slides	
  at:	
  h=p://Fnyurl.com/bsqbojf	
  

                                                Industrial	
  enzyme	
  design	
  

                                High-­‐through	
  put	
  screening	
  of	
  100s	
  of	
  mutants	
  
                               IdenFfies	
  promising	
  candidates	
  for	
  further	
  study	
  

                                              ComputaFonal	
  predicFon:	
  
                                                Homology	
  modeling	
  
                                                            QSAR	
  
                               (QM	
  or	
  QM/MM	
  too	
  slow	
  and	
  lacks	
  automaFon)	
  
                               IdenFfies	
  promising	
  candidates	
  for	
  further	
  study	
  


                                                        Further	
  study:	
  
                                                        20-­‐50	
  mutants	
  


                                                               Goal	
  

Automated	
  predicFon	
  of	
  barrier	
  height	
  for	
  enzymaFc	
  reacFon	
  within	
  24	
  hr	
  using	
  <	
  10	
  cores	
  
                     IdenFfies	
  promising	
  candidates	
  for	
  further	
  study	
  	
  
Methods	
  

                         PM6	
  implemented	
  in	
  Mopac2009	
  (MOZYME)	
  

                                 Automated	
  mutant	
  builder	
  (PYMOL)	
  

                                     Barrier	
  from	
  adiabaFc	
  mapping	
  

                                           Applica$on	
  
                        Increase	
  amidase	
  acFvity	
  in	
  an	
  estarase	
  (CalB)	
  




        MarFn	
  R.	
  Hediger,	
  Luca	
  De	
  Vico,	
  Allan	
  Svendsen,	
  Werner	
  Besenma=er,	
  Jan	
  H.	
  Jensen	
  	
  
“A	
  ComputaFonal	
  Methodology	
  to	
  Screen	
  AcFviFes	
  of	
  Enzyme	
  Variants”	
  PLoS	
  ONE,	
  submi=ed.	
  
PM6	
  is	
  good	
  enough	
  
PM6	
  and	
  MOZYME	
  
MOZYME	
  =	
  PM6	
  computed	
  with	
  MOZYME	
  
       PM6	
  =	
  PM6//MOZYME	
  
 MOZYMEReortho	
  =	
  MOZYME//MOZYME	
  
PM6/MOZYME	
  is	
  fast	
  enough	
  

                         55	
  aa	
  




 MOPAC2009	
  
No	
  parallelized	
  
PM6/MOZYME	
  is	
  fast	
  enough	
  


OpFmizaFon	
                                      Single	
  point	
  
Future	
  Direc$ons	
  

             Whole	
  protein	
  
           COSMO	
  solvaFon	
  
          More	
  automaFzaFon	
  
            Be=er	
  sampling	
  

Complete	
  scan	
  of	
  single	
  mutants	
  
Single	
  -­‐>	
  double	
  -­‐>	
  triple	
  mutants	
  

        PM6	
  in	
  GAMESS	
  
       Linear	
  scaling	
  PM6	
  
       PM6/PCM	
  interface	
  
AlternaFves	
  to	
  adiabaFc	
  mapping	
  

          Beyond	
  PM6:	
  EFMO	
  
Blurring	
  the	
  boundary	
  between	
  linear	
  scaling	
  QM,	
  
                             QM/MM	
  and	
  polarizable	
  force	
  fields	
  

                       The	
  Effec@ve	
  Fragment	
  Molecular	
  Orbital	
  Method	
  

    Jan	
  H.	
  Jensen,	
  Casper	
  Steinmann,	
  Mikael	
  Wistoi	
  Ibsen,	
  Kasper	
  Thoie	
  
                                      University	
  of	
  Copenhagen	
  

                                                         Dmitri	
  Fedorov	
  
                                                          AIST,	
  Japan	
  



Casper	
  Steinmann,	
  Dmitri	
  G.	
  Fedorov,	
  and	
  Jan	
  H.	
  Jensen	
  “ The	
  EffecFve	
  Fragment	
  Molecular	
  Orbital	
  Method:	
  
A	
  Merger	
  of	
  the	
  Fragment	
  Molecular	
  Orbital	
  and	
  EffecFve	
  Fragment	
  PotenFal	
  Methods”	
  	
  
Journal	
  of	
  Physical	
  Chemistry	
  A	
  2010,	
  114,	
  8705-­‐8712	
  

Casper	
  Steinmann,	
  Dmitri	
  G.	
  Fedorov,	
  and	
  Jan	
  H.	
  Jensen	
  “ The	
  EffecFve	
  Fragment	
  Molecular	
  Orbital	
  Method	
  
for	
  Fragments	
  Connected	
  by	
  Covalent	
  Bonds”	
  PLoS	
  ONE,	
  submi=ed.	
  h=p://arxiv.org/abs/1202.4935	
  
                                                                                                                                                  11	
  
The	
  Effec$ve	
  Fragment	
  Molecular	
  Orbital	
  (EFMO)	
  method	
  
  Using	
  ideas	
  from	
  the	
  EffecFve	
  Fragment	
  PotenFal	
  (EFP)	
  
   and	
  the	
  Fragment	
  Molecular	
  Orbital	
  (FMO)	
  method	
  	
  




                                                                                  12	
  
The	
  Effec$ve	
  Fragment	
  Molecular	
  Orbital	
  (EFMO)	
  method	
  
            (Using	
  ideas	
  from	
  the	
  EffecFve	
  Fragment	
  PotenFal	
  (EFP)	
  method)	
  




  Monomer	
  SCF	
  in	
  the	
  
      gas	
  phase	
  

  Extract	
  mulFpoles	
  
and	
  dipole	
  polarizability	
  




                                                                                                        13	
  
The	
  Effec$ve	
  Fragment	
  Molecular	
  Orbital	
  (EFMO)	
  method	
  
              (Using	
  ideas	
  from	
  the	
  EffecFve	
  Fragment	
  PotenFal	
  (EFP)	
  method)	
  




Many-­‐body	
  polariza$on	
  

 Computed	
  classically	
  
 using	
  induced	
  dipoles	
  
   for	
  enFre	
  system	
  




                                                                                                          14	
  
The	
  Effec$ve	
  Fragment	
  Molecular	
  Orbital	
  (EFMO)	
  method	
  
          (Using	
  ideas	
  from	
  the	
  EffecFve	
  Fragment	
  PotenFal	
  (EFP)	
  method)	
  




   Coulomb	
  and	
  
Non-­‐Coulomb	
  effects	
  

   dimer	
  SCF	
  in	
  the	
  
      gas	
  phase	
  




                                                                                                      15	
  
The	
  Effec$ve	
  Fragment	
  Molecular	
  Orbital	
  (EFMO)	
  method	
  
      (Using	
  ideas	
  from	
  the	
  EffecFve	
  Fragment	
  PotenFal	
  (EFP)	
  method)	
  




Coulomb	
  effects	
  

Computed	
  using	
  
staFc	
  mulFpoles	
  




                                                                                                  16	
  
MP2	
  
(DFT	
  doesn’t	
  scale	
  well)	
  

                                        +	
  0	
  




                                                     17	
  
Covalent	
  Fragmenta$on	
  
(ElectrostaFc	
  screening	
  crucial)	
  




                                             18	
  
Implemented	
  in	
  GAMESS	
  
                                                                                                                               With	
  gradients	
  

                                                                                                                                     Trp	
  cage	
  (20	
  residues)	
  
                                                                                                                                      2	
  residues/fragment	
  




	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  EFMO	
  	
  	
  FMO2	
  
Error	
  in	
  energy	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  -­‐4.3	
  	
  	
  	
  	
  	
  	
  	
  6.4	
  	
  kcal/mol	
  

MP2/6-­‐31G(d)	
  gradient	
  	
  	
  	
  	
  	
  	
  	
  	
  314	
  	
  	
  	
  	
  	
  	
  409	
  	
  minutes	
  
20	
  cores	
  
(most	
  Fme	
  spent	
  in	
  MP2	
  dimers)	
  




                                                                                                                                                                                                                                   19	
  
QM/”MM”	
  
                                                 PCM	
  




Large	
  parts	
  of	
  MM	
  region	
  	
  
          oien	
  	
  frozen	
  	
  
                   =	
  
 Requires	
  only	
  monomer	
  	
  
  gas	
  phase	
  calculaFons	
  
         for	
  that	
  region	
  
                   =	
  
            Very	
  fast	
  




                                                             20	
  
To	
  Do	
  

Flexible	
  EFP/Polarizable	
  “Force	
  Field”	
  
                    covalent
                    dimers

                     ∑ (E                                 )
           N
E EFMO = ∑ EI0 +                0
                                IJ    − EI0 − EJ − EIJ
                                               0    POL

           I           IJ


                (                           )
           N
        + ∑ EIJ + EIJ /CT + EIJ + Etot
             ES    XR        Disp  POL

           IJ




         Important	
  miscellanea	
  

  EFMO	
  GUI:	
  FRAGIT	
  (Mikael	
  Ibsen)	
  

TS	
  search	
  algorithms	
  (Kasper	
  Thoie)	
  

                                                              21	
  
Funding:	
  	
  EU	
  (IRENE	
  collab	
  program)	
  




                   Thank	
  You!	
  

                   Ques$ons?	
  




      Slides	
  at:	
  h=p://Fnyurl.com/bsqbojf	
  




                                                         22	
  

Contenu connexe

En vedette

Peer instruction questions for DFT
Peer instruction questions for DFTPeer instruction questions for DFT
Peer instruction questions for DFTmolmodbasics
 
Predicting accurate absolute binding energies in aqueous solution: thermodyn...
Predicting accurate absolute binding energies in aqueous solution: thermodyn...Predicting accurate absolute binding energies in aqueous solution: thermodyn...
Predicting accurate absolute binding energies in aqueous solution: thermodyn...molmodbasics
 
Brief intro to my research
Brief intro to my researchBrief intro to my research
Brief intro to my researchmolmodbasics
 
Peer instructions questions on entropy
Peer instructions questions on entropyPeer instructions questions on entropy
Peer instructions questions on entropymolmodbasics
 
Peer instruction questions: mixing
Peer instruction questions: mixingPeer instruction questions: mixing
Peer instruction questions: mixingmolmodbasics
 
Teaching Tools and Tips
Teaching Tools and TipsTeaching Tools and Tips
Teaching Tools and Tipsmolmodbasics
 
Teaching protein folding to high school students in less than a day
Teaching protein folding to high school students in less than a dayTeaching protein folding to high school students in less than a day
Teaching protein folding to high school students in less than a daymolmodbasics
 
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...molmodbasics
 
Summary of select research projects (Early 2013)
Summary of select research projects (Early 2013)Summary of select research projects (Early 2013)
Summary of select research projects (Early 2013)molmodbasics
 
Modeling Chemical Reactions (in Enzyme Active Sites)
Modeling Chemical Reactions (in Enzyme Active Sites)Modeling Chemical Reactions (in Enzyme Active Sites)
Modeling Chemical Reactions (in Enzyme Active Sites)molmodbasics
 
Tools for the lazy teacher
Tools for the lazy teacherTools for the lazy teacher
Tools for the lazy teachermolmodbasics
 
Different kinds of peer instruction questions for thermodynamics
Different kinds of peer instruction questions for thermodynamicsDifferent kinds of peer instruction questions for thermodynamics
Different kinds of peer instruction questions for thermodynamicsmolmodbasics
 
Teaching Tools and Tips
Teaching Tools and TipsTeaching Tools and Tips
Teaching Tools and Tipsmolmodbasics
 
Laporan praktikum fisdas 1 - kesetimbangan statik
Laporan praktikum fisdas 1 - kesetimbangan statikLaporan praktikum fisdas 1 - kesetimbangan statik
Laporan praktikum fisdas 1 - kesetimbangan statikSulvia Oktafiani
 

En vedette (16)

QM/MM Yang Paper
QM/MM  Yang PaperQM/MM  Yang Paper
QM/MM Yang Paper
 
Peer instruction questions for DFT
Peer instruction questions for DFTPeer instruction questions for DFT
Peer instruction questions for DFT
 
Predicting accurate absolute binding energies in aqueous solution: thermodyn...
Predicting accurate absolute binding energies in aqueous solution: thermodyn...Predicting accurate absolute binding energies in aqueous solution: thermodyn...
Predicting accurate absolute binding energies in aqueous solution: thermodyn...
 
Brief intro to my research
Brief intro to my researchBrief intro to my research
Brief intro to my research
 
Peer instructions questions on entropy
Peer instructions questions on entropyPeer instructions questions on entropy
Peer instructions questions on entropy
 
Peer instruction questions: mixing
Peer instruction questions: mixingPeer instruction questions: mixing
Peer instruction questions: mixing
 
Teaching Tools and Tips
Teaching Tools and TipsTeaching Tools and Tips
Teaching Tools and Tips
 
Teaching protein folding to high school students in less than a day
Teaching protein folding to high school students in less than a dayTeaching protein folding to high school students in less than a day
Teaching protein folding to high school students in less than a day
 
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...
The 2013 Bjerrum-Brønsted-Lang Lecture: quantum biochemistry and the rise of ...
 
Summary of select research projects (Early 2013)
Summary of select research projects (Early 2013)Summary of select research projects (Early 2013)
Summary of select research projects (Early 2013)
 
Modeling Chemical Reactions (in Enzyme Active Sites)
Modeling Chemical Reactions (in Enzyme Active Sites)Modeling Chemical Reactions (in Enzyme Active Sites)
Modeling Chemical Reactions (in Enzyme Active Sites)
 
Tools for the lazy teacher
Tools for the lazy teacherTools for the lazy teacher
Tools for the lazy teacher
 
Different kinds of peer instruction questions for thermodynamics
Different kinds of peer instruction questions for thermodynamicsDifferent kinds of peer instruction questions for thermodynamics
Different kinds of peer instruction questions for thermodynamics
 
Why I blog
Why I blogWhy I blog
Why I blog
 
Teaching Tools and Tips
Teaching Tools and TipsTeaching Tools and Tips
Teaching Tools and Tips
 
Laporan praktikum fisdas 1 - kesetimbangan statik
Laporan praktikum fisdas 1 - kesetimbangan statikLaporan praktikum fisdas 1 - kesetimbangan statik
Laporan praktikum fisdas 1 - kesetimbangan statik
 

Plus de molmodbasics

xyz2mol for organometallic compounds
xyz2mol for organometallic compoundsxyz2mol for organometallic compounds
xyz2mol for organometallic compoundsmolmodbasics
 
Chemical Space Exploration
Chemical Space ExplorationChemical Space Exploration
Chemical Space Explorationmolmodbasics
 
ChemRxiv, Plan S, and OA publishing
ChemRxiv, Plan S, and OA publishingChemRxiv, Plan S, and OA publishing
ChemRxiv, Plan S, and OA publishingmolmodbasics
 
A Quantum Chemist Meets Cheminformatics
A Quantum Chemist Meets CheminformaticsA Quantum Chemist Meets Cheminformatics
A Quantum Chemist Meets Cheminformaticsmolmodbasics
 
Can We Automate Computational Studies of Enzymes? Lessons from Small-Molecul...
Can We Automate Computational Studies of Enzymes?  Lessons from Small-Molecul...Can We Automate Computational Studies of Enzymes?  Lessons from Small-Molecul...
Can We Automate Computational Studies of Enzymes? Lessons from Small-Molecul...molmodbasics
 
Proteiner du kan regne med
Proteiner du kan regne med Proteiner du kan regne med
Proteiner du kan regne med molmodbasics
 
Using semiempirical methods for fast and automated predictions
Using semiempirical methods for fast and automated predictionsUsing semiempirical methods for fast and automated predictions
Using semiempirical methods for fast and automated predictionsmolmodbasics
 
Jan H. Jensen: profile
Jan H. Jensen: profileJan H. Jensen: profile
Jan H. Jensen: profilemolmodbasics
 
Can semiempirical methods be used for high throughput screening (for enzyme m...
Can semiempirical methods be used for high throughput screening (for enzyme m...Can semiempirical methods be used for high throughput screening (for enzyme m...
Can semiempirical methods be used for high throughput screening (for enzyme m...molmodbasics
 
Thermodynamics for Biochemists: a YouTube textbook
Thermodynamics for Biochemists: a YouTube textbookThermodynamics for Biochemists: a YouTube textbook
Thermodynamics for Biochemists: a YouTube textbookmolmodbasics
 
Short answer questions on thermodynamics
Short answer questions on thermodynamicsShort answer questions on thermodynamics
Short answer questions on thermodynamicsmolmodbasics
 
Quantum Biochemistry: the rise of semiempirical methods
Quantum Biochemistry: the rise of semiempirical methodsQuantum Biochemistry: the rise of semiempirical methods
Quantum Biochemistry: the rise of semiempirical methodsmolmodbasics
 
Peer instruction questions on thermodynamics part 1
Peer instruction questions on thermodynamics part 1Peer instruction questions on thermodynamics part 1
Peer instruction questions on thermodynamics part 1molmodbasics
 
Protein structure determination & refinement using QM-derived chemical shifts
Protein structure determination & refinement using QM-derived chemical shiftsProtein structure determination & refinement using QM-derived chemical shifts
Protein structure determination & refinement using QM-derived chemical shiftsmolmodbasics
 
Quantum biochemistry
Quantum biochemistryQuantum biochemistry
Quantum biochemistrymolmodbasics
 
Peer instruction question on Entropy
Peer instruction question on EntropyPeer instruction question on Entropy
Peer instruction question on Entropymolmodbasics
 
Peer instructions questions for basic quantum mechanics
Peer instructions questions for basic quantum mechanicsPeer instructions questions for basic quantum mechanics
Peer instructions questions for basic quantum mechanicsmolmodbasics
 

Plus de molmodbasics (20)

xyz2mol for organometallic compounds
xyz2mol for organometallic compoundsxyz2mol for organometallic compounds
xyz2mol for organometallic compounds
 
Chemical Space Exploration
Chemical Space ExplorationChemical Space Exploration
Chemical Space Exploration
 
ChemRxiv, Plan S, and OA publishing
ChemRxiv, Plan S, and OA publishingChemRxiv, Plan S, and OA publishing
ChemRxiv, Plan S, and OA publishing
 
A Quantum Chemist Meets Cheminformatics
A Quantum Chemist Meets CheminformaticsA Quantum Chemist Meets Cheminformatics
A Quantum Chemist Meets Cheminformatics
 
Can We Automate Computational Studies of Enzymes? Lessons from Small-Molecul...
Can We Automate Computational Studies of Enzymes?  Lessons from Small-Molecul...Can We Automate Computational Studies of Enzymes?  Lessons from Small-Molecul...
Can We Automate Computational Studies of Enzymes? Lessons from Small-Molecul...
 
Open is Better
Open is BetterOpen is Better
Open is Better
 
Proteiner du kan regne med
Proteiner du kan regne med Proteiner du kan regne med
Proteiner du kan regne med
 
Using semiempirical methods for fast and automated predictions
Using semiempirical methods for fast and automated predictionsUsing semiempirical methods for fast and automated predictions
Using semiempirical methods for fast and automated predictions
 
Jan H. Jensen: profile
Jan H. Jensen: profileJan H. Jensen: profile
Jan H. Jensen: profile
 
Why I tweet
Why I tweetWhy I tweet
Why I tweet
 
Can semiempirical methods be used for high throughput screening (for enzyme m...
Can semiempirical methods be used for high throughput screening (for enzyme m...Can semiempirical methods be used for high throughput screening (for enzyme m...
Can semiempirical methods be used for high throughput screening (for enzyme m...
 
Thermodynamics for Biochemists: a YouTube textbook
Thermodynamics for Biochemists: a YouTube textbookThermodynamics for Biochemists: a YouTube textbook
Thermodynamics for Biochemists: a YouTube textbook
 
I lecture nomore
I lecture nomoreI lecture nomore
I lecture nomore
 
Short answer questions on thermodynamics
Short answer questions on thermodynamicsShort answer questions on thermodynamics
Short answer questions on thermodynamics
 
Quantum Biochemistry: the rise of semiempirical methods
Quantum Biochemistry: the rise of semiempirical methodsQuantum Biochemistry: the rise of semiempirical methods
Quantum Biochemistry: the rise of semiempirical methods
 
Peer instruction questions on thermodynamics part 1
Peer instruction questions on thermodynamics part 1Peer instruction questions on thermodynamics part 1
Peer instruction questions on thermodynamics part 1
 
Protein structure determination & refinement using QM-derived chemical shifts
Protein structure determination & refinement using QM-derived chemical shiftsProtein structure determination & refinement using QM-derived chemical shifts
Protein structure determination & refinement using QM-derived chemical shifts
 
Quantum biochemistry
Quantum biochemistryQuantum biochemistry
Quantum biochemistry
 
Peer instruction question on Entropy
Peer instruction question on EntropyPeer instruction question on Entropy
Peer instruction question on Entropy
 
Peer instructions questions for basic quantum mechanics
Peer instructions questions for basic quantum mechanicsPeer instructions questions for basic quantum mechanics
Peer instructions questions for basic quantum mechanics
 

Dernier

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 

Dernier (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 

IRENE Conference

  • 1. Industrial  Strength  QM/MM:  Computa8onal  high  throughput     screening  of  enzyme  ac8vity  in  enzyme  mutants   Jan  H.  Jensen,  Mar$n  Hediger,  Luca  De  Vico,  Kasper  Primdal,     Allan  Svendsen,  Werner  Besenma=er   Department  of  Chemistry   University  of  Copenhagen   Slides  at:  h=p://Fnyurl.com/bsqbojf   MarFn  R.  Hediger,  Luca  De  Vico,  Allan  Svendsen,  Werner  Besenma=er,  Jan  H.  Jensen     “A  ComputaFonal  Methodology  to  Screen  AcFviFes  of  Enzyme  Variants”  PLoS  ONE,  submi=ed.   h=p://arxiv.org/abs/1203.2950  
  • 2. Slides  at:  h=p://Fnyurl.com/bsqbojf   Industrial  enzyme  design   High-­‐through  put  screening  of  100s  of  mutants   IdenFfies  promising  candidates  for  further  study   ComputaFonal  predicFon:   Homology  modeling   QSAR   (QM  or  QM/MM  too  slow  and  lacks  automaFon)   IdenFfies  promising  candidates  for  further  study   Further  study:   20-­‐50  mutants   Goal   Automated  predicFon  of  barrier  height  for  enzymaFc  reacFon  within  24  hr  using  <  10  cores   IdenFfies  promising  candidates  for  further  study    
  • 3. Methods   PM6  implemented  in  Mopac2009  (MOZYME)   Automated  mutant  builder  (PYMOL)   Barrier  from  adiabaFc  mapping   Applica$on   Increase  amidase  acFvity  in  an  estarase  (CalB)   MarFn  R.  Hediger,  Luca  De  Vico,  Allan  Svendsen,  Werner  Besenma=er,  Jan  H.  Jensen     “A  ComputaFonal  Methodology  to  Screen  AcFviFes  of  Enzyme  Variants”  PLoS  ONE,  submi=ed.  
  • 4. PM6  is  good  enough  
  • 5. PM6  and  MOZYME   MOZYME  =  PM6  computed  with  MOZYME   PM6  =  PM6//MOZYME   MOZYMEReortho  =  MOZYME//MOZYME  
  • 6. PM6/MOZYME  is  fast  enough   55  aa   MOPAC2009   No  parallelized  
  • 7. PM6/MOZYME  is  fast  enough   OpFmizaFon   Single  point  
  • 8.
  • 9.
  • 10. Future  Direc$ons   Whole  protein   COSMO  solvaFon   More  automaFzaFon   Be=er  sampling   Complete  scan  of  single  mutants   Single  -­‐>  double  -­‐>  triple  mutants   PM6  in  GAMESS   Linear  scaling  PM6   PM6/PCM  interface   AlternaFves  to  adiabaFc  mapping   Beyond  PM6:  EFMO  
  • 11. Blurring  the  boundary  between  linear  scaling  QM,   QM/MM  and  polarizable  force  fields   The  Effec@ve  Fragment  Molecular  Orbital  Method   Jan  H.  Jensen,  Casper  Steinmann,  Mikael  Wistoi  Ibsen,  Kasper  Thoie   University  of  Copenhagen   Dmitri  Fedorov   AIST,  Japan   Casper  Steinmann,  Dmitri  G.  Fedorov,  and  Jan  H.  Jensen  “ The  EffecFve  Fragment  Molecular  Orbital  Method:   A  Merger  of  the  Fragment  Molecular  Orbital  and  EffecFve  Fragment  PotenFal  Methods”     Journal  of  Physical  Chemistry  A  2010,  114,  8705-­‐8712   Casper  Steinmann,  Dmitri  G.  Fedorov,  and  Jan  H.  Jensen  “ The  EffecFve  Fragment  Molecular  Orbital  Method   for  Fragments  Connected  by  Covalent  Bonds”  PLoS  ONE,  submi=ed.  h=p://arxiv.org/abs/1202.4935   11  
  • 12. The  Effec$ve  Fragment  Molecular  Orbital  (EFMO)  method   Using  ideas  from  the  EffecFve  Fragment  PotenFal  (EFP)   and  the  Fragment  Molecular  Orbital  (FMO)  method     12  
  • 13. The  Effec$ve  Fragment  Molecular  Orbital  (EFMO)  method   (Using  ideas  from  the  EffecFve  Fragment  PotenFal  (EFP)  method)   Monomer  SCF  in  the   gas  phase   Extract  mulFpoles   and  dipole  polarizability   13  
  • 14. The  Effec$ve  Fragment  Molecular  Orbital  (EFMO)  method   (Using  ideas  from  the  EffecFve  Fragment  PotenFal  (EFP)  method)   Many-­‐body  polariza$on   Computed  classically   using  induced  dipoles   for  enFre  system   14  
  • 15. The  Effec$ve  Fragment  Molecular  Orbital  (EFMO)  method   (Using  ideas  from  the  EffecFve  Fragment  PotenFal  (EFP)  method)   Coulomb  and   Non-­‐Coulomb  effects   dimer  SCF  in  the   gas  phase   15  
  • 16. The  Effec$ve  Fragment  Molecular  Orbital  (EFMO)  method   (Using  ideas  from  the  EffecFve  Fragment  PotenFal  (EFP)  method)   Coulomb  effects   Computed  using   staFc  mulFpoles   16  
  • 17. MP2   (DFT  doesn’t  scale  well)   +  0   17  
  • 18. Covalent  Fragmenta$on   (ElectrostaFc  screening  crucial)   18  
  • 19. Implemented  in  GAMESS   With  gradients   Trp  cage  (20  residues)   2  residues/fragment                                                                                                      EFMO      FMO2   Error  in  energy                                                -­‐4.3                6.4    kcal/mol   MP2/6-­‐31G(d)  gradient                  314              409    minutes   20  cores   (most  Fme  spent  in  MP2  dimers)   19  
  • 20. QM/”MM”   PCM   Large  parts  of  MM  region     oien    frozen     =   Requires  only  monomer     gas  phase  calculaFons   for  that  region   =   Very  fast   20  
  • 21. To  Do   Flexible  EFP/Polarizable  “Force  Field”   covalent dimers ∑ (E ) N E EFMO = ∑ EI0 + 0 IJ − EI0 − EJ − EIJ 0 POL I IJ ( ) N + ∑ EIJ + EIJ /CT + EIJ + Etot ES XR Disp POL IJ Important  miscellanea   EFMO  GUI:  FRAGIT  (Mikael  Ibsen)   TS  search  algorithms  (Kasper  Thoie)   21  
  • 22. Funding:    EU  (IRENE  collab  program)   Thank  You!   Ques$ons?   Slides  at:  h=p://Fnyurl.com/bsqbojf   22