NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
Session 1 part 1
1. Dept Molecular Pharmacology & Biological Chemistry Northwestern University Feinberg School of Medicine 303 E Chicago Ave, Mailcode W-896 Chicago, IL 60611 Email: [email_address] D. Martin Watterson, PhD Disclosures: NIH and foundation funding in the area of drug discovery; NU holds intellectual property and has licensed to industry novel CNS drugs developed in the speaker laboratory. Session Overview “ Medicinal Chemistry Rules of Thumb, Myths and Realities in CNS Drug Discovery”
2. Educational goals : Introduce the biology investigator to the rationale and scientific foundations of the “medicinal chemistry black box” aspects of the multi-disciplinary drug discovery and development process for CNS disorders. Basics of Medicinal Chemistry for the Biologist Deliverables : Sufficient familiarity for better project planning, especially the potential to improve campaign risk management by addressing pharmacology fundamentals early in the process while the project has chemistry involvement. The focus is on small molecule drugs due to the extensive state of knowledge about this class and their preponderance among approved drugs and pipelines; an emphasis on innovation and early proof of concept.
3. Lead Discovery and Optimization Target ID and Validation Clinical Trials Preclinical Development Regulatory Approval Drug Discovery & Development Process Simplified And a chemical Need a target ( molecule or pathway/process ) Small molecule, peptide, protein, NA, etc: details of hit -> lead -> candidate differ based on starting point & goals
4. Themes in Drug Discovery & Development Risk Reduction Campaign risk often falls into two general areas - adverse pharmacology/toxicology (GLP preclinical/phase 1 clinical) or efficacy (phase 2-3 clinical): related to target related to the drug candidate (this session focus) Current approach - push failure earlier into the timeline: Small molecule discovery/design - “smart chemistry” fewer, more drug-like molecules expand chemotype diversity within molecular property limits Biological system - “smart biology” early, non-GLP screens addressing risk in ICH guidelines major barriers in the particular disease area (eg CNS penetrance/distribution, undesired pharmacology) “ Kill early and fast” … “Fail fast in vivo” = Identify major liabilities at start & address at discovery chemistry stage
5. Contemporary Drug Discovery Engine: Biology Driven & Recursive Adapted from Chico et al., (2009) Nature Reviews Drug Discovery 8:892 Oral Blood/Brain Ratio Screen In vivo efficacy in disease-relevant animal models If YES, then GO If fail, then NO GO If YES, then GO Medicinal Chemistry Refinement Strategy Concentration-dependent , selective activity screens If NO, then NO GO As needed, based on outcomes Activity Module Non-GLP Pharmacological Module Mini NOAEL with Increasing Dose Informatics-driven Design (including Structure Assisted) If YES, select candidate(s) for further development Selected ADMET/PK related screens GLP P reclinical studies GMP production scheme IND Development Stage Design & Synthesis Module Physical Properties Characterization Syntheses Using Established Chemistry
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7. Molecular Properties, Tissue Barrier Permeation & Substrates NOTE: Molecules with the appropriate molecular features can be clinically useful even if the original molecular target is not the pharmacological mode of action for disease efficacy. For a more detailed excellent case study, a suggested reading is: “ From basic science to blockbuster drug: the discovery of Lyrica ” by Richard B. Silverman (2008) Angew. Chem. Int. Ed. 47:3500-3504. This drug development campaign also provides example of how preclinical dosing analysis can provide insight into true molecular target for in vivo efficacy vs the target of design. Molecular pro perties of a drug - physical characteristics that, in aggregate, contribute to how a molecule will alter, or be altered, in complex biological systems. Dr. Chico will address this fundamental issue in her lecture.
8. Caffeine is a natural product, a historical source of candidate drugs & alternative scaffolds It is safe . A fatal dose is >10 grams => 80 to 100 cups of coffee in rapid succession. Accidental overdose is not an easy thing to do. However, natural products are not inherently safer than engineered or synthetic products. e.g., - arsenic is a natural product. Natural products are often multi-target drug candidates – good if appropriate; can be separated in medicinal chemistry refinement if necessary . Dr. Koehn will address natural products as starting points in his lecture. Natural Products: Historical Source, Alternative Chemical Space Caffeine is a central nervous system stimulant and a diuretic. Single drug - two in vivo pharmacological actions
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10. Chemotypes: Pharmacological Landscape with Diversification Example of three related, heteroaromatic chemotypes found in nature. Readily synthesized from inexpensive raw materials – cost of goods/scale. All are amenable to chemical diversifications using established synthetic schemes. Chemical diversification can yield either major changes in pharmacodynamics (PD) with minor chemical changes or smal l changes in PD while altering significantly the pharmacokinetics (PK).
11. “ Steep” structure-activity landscape e.g., chemist might “move” methyl group around ring to test if major impact on activity; in this case, pharmacology is changed SAR Landscape: Activity Change with Chemical Diversification “ Flatter” structure-activity landscape e.g., “moving” methyl group around ring has little or no impact on activity but might impact PK no difference in activities Simple chemical diversification = major changes in pharmacology? early feasibility tests to define potential character of scaffolds based on certain chemotypes
12. How Can SAR Landscape Impact Project Management? Working with a compound that has a “flat” structure activity landscape: Activity outcomes from chemical diversification might be more readily forecast, but major changes in activity/function may be difficult to evolve after a certain point . One might want to work with more than one chemotype in early discovery phase; potentially limit population of chemotype in library for activity screens? Working with a compound for which feasibility date indicate a “steep” structure-activity landscape: Chemical diversification at different atoms on the core chemotype could generate major improvements or loss of activity, and metabolites generated by first pass metabolism might generate even more active or toxic products . In these cases, % chemical similarity has little relationship to activity similarity; may be prudent to test early in campaign for metabolic stability potential and be alert for active metabolites; populate library with multiple versions of chemotype if diversifiable? Example Scenarios: Dr. Behanna’s lecture will summarize what one looks for in the chemist’s tool box when planning hit discovery and medicinal chemistry refinement campaign to leverage useful chemotypes
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14. Smart Chemistry – recursive, driven by the biological goal Integration of decision filters based on informatics (e.g., structure, chemistry and pharmacology) and feasibility screens (e.g., pharmacology, mechanism of action, therapeutic window, extended PD) in the early discovery process can: - save time, cost and effort in the discovery/development process; - add discrete Go/No Go decision steps as the campaign progresses; - reduce risk in later stages. Themes and Caveats The scientific process is similar among small molecule medicinal chemistry efforts in drug discovery, with details defined by a particular campaign/disease area and the chemistry starting point (libraries and small molecule design). - More is not better; either in chemical libraries or in synthetic efforts to solve medicinal chemistry refinement issues. - Hits are generally not drugs – depending on chemical library focus, need to plan on extensive med chem refinement or reformulation/safety pharmacology for new use. - Chemical biology is not drug discovery, but tool compounds used to demonstrate “druggability” can be useful starting point for scaffolds/chemotypes. Summary: Risk Reduction by Leveraging Success
15. Laura Chico, PhD Designing small molecules with increased potential for CNS bioavailability. Heather Behanna, PhD Synthetic chemistry essentials for biologists. Frank Koehn, PhD Natural products as drug starting points. I. Basics of Medicinal Chemistry