Jubilant Biosys

9 Abonné

Highly motivated, driven, enthusiastic researcher with over 10 years of experience in Molecular modelling, computational chemistry, drug repurposing, computational biology, statistical analysis and chemical molecules database management. I am familiar with many of the computational chemistry and biology software. Proficient at problem solving, multi-tasking, data analysis and supervising junior researchers. Excellent communication and collaboration with companies/academic researchers. Specialties: Target-based drug design, ligand-based drug design, homology modelling, protein-protein docking, structural similarities, pharmacophore modelling, 3D-QSAR, virtual screening, library design, m...

Présentations
Documents
Infographies

Plus récents Les plus populaires

Jubilant Biosys

DeepSMILES

Cheminformatics

Artificial Intelligence in Data Curation

How Do You Build and Validate 1500 Models and What Can You Learn from Them?

Automating drug target discovery with machine learning

Notes from Coursera Deep Learning courses by Andrew Ng

Machine Learning

Visual CV - based on a timeline

ACS Spring 2016 Combining semantic triple stores across knowledge domains

Bioactivity Predictive ModelingMay2016

Time-based bioactivity analysis

AI is the Future of Drug Discovery

Tim Cheeseright, Cresset, 'Introducing Fragment Growing in FieldStere and other cool stuff'

MOLECULAR DOCKING AND RELATED DRUG DESIGN ACHIEVEMENTS

Principles of drug discovery

BIOISOSTERSM

Algorithmically Optimized Gene Selection for Targeted Clinical Sequencing Panels

Using Machine Learning Models Based on Phenotypic Data to Discover New Molecules For neglected diseases

Mining 'Bigger' Datasets to Create, Validate and Share Machine Learning Models

Exploiting enhanced non-testing approaches to meet the needs for sustainable chemistry