We actively maintain a group guide detailing information about our values and Connor’s attitude toward research and mentorship which can be found here.
A curated collection of external resources, tutorials, and tools that we recommend for learning about computational chemistry, machine learning, and chemical informatics.
Educational materials, courses, and tutorials to get you started
DeepChem Tutorials - Machine learning for drug discovery tutorials
ML4MolEng Problem Sets - Problem sets for the MIT ML4MolEng course
dl-chem-101 - Deep learning for chemistry educational repository
AI4Chem - A course on AI for chemistry by the LIAC team at EPFL
Regular updates and insights from experts
Greg Landrum’s RDKit Blog - Insights and tutorials on RDKit and cheminformatics
Pat Walters’ Practical Cheminformatics - Practical cheminformatics tutorials and insights
Derek Lowe’s In the Pipeline - Commentary on drug discovery and pharmaceutical industry
Interactive tools and utilities
Open-source software packages
OpenRetro - An open source library for benchmarking one-step retrosynthesis
Open Reaction Database (ORD) - Open-access schema and infrastructure for structuring and sharing organic reaction data
Academic journals and research platforms
Comprehensive textbooks and reference materials
Coley Research Group