ACS Fall Meeting 2021
CINF had 15 symposia on a wide range of topics at the fall meeting. Here are presentations that speakers made openly available
Understanding Enzyme Function in 3D - Celebrating 50 Years of the Protein Data Bank
Stephen Burley: Celebrating the 50th anniversary of the protein data bank: Enhanced exploration of small-molecule ligands bound to proteins and nucleic acids
David Christianson: Structure, mechanism, and inhibition of class IIb histone deacetylases
Jason Cole: Vive la difference! The synergies and differences between the PDB and the CSD
James Fraser: Small molecules targeting COVID-19 in an evolving landscape of publishing and peer review
Dorothee Kern: Time travel to the past and future – evolution of energy landscapes for enzymes catalysis
Sagar Khare: Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the COVID-19 pandemic
Lori Passmore: Mechanistic insights into the cleavage and polyadenylation machinery
Gregory Petsko: Truth sometimes triumphs: The history of structural enzymology
George Phillips: Beyond static snapshots of protein structure: The role of dynamics in function
Machine Learning & AI for Chemistry
Christopher Kuenneth: Copolymer informatics with multi-task deep neural networks
Ingvar Lagerstedt: NameRxn: More than just a reaction classifier
Philippe Schwaller: Low-data regime yield predictions with uncertainty estimation using deep learning approaches
Deep learning for chemistry: Resilience of Methods & Workflows
Camille Bilodeau: Graph-to-graph translation for generating optimized and synthetically feasible molecules
Jan Hermann: Solving the electronic Schrödinger equation with deep learning
Derek Jones: Informing deep learning methodologies for drug discovery with biophysical simulation
Hossein Jooya: Using graph-convolutional network to learn molecular configuration optimization
Wesley Wei Qian: Integrating deep neural networks and symbolic inference for organic reactivity prediction
Patrick Rinke: Deep learning spectroscopy
Chemistry Babylon: Overcoming Language Barriers to Share Chemical Information
Richard Gowers: Extracting chemicals, reactions and other named entities from non-English documents
Bela Pukánszky: Challenges of chemical name recognition in Japanese documents
Roger Sayle: IUPAC Apocalypse: How changing standards can make chemical nomenclature knowledge and software obsolete
Lutz Weber: Semantic and chemistry structure search on 250 million scientific documents
Reactions: Representation, Planning and Robotics
Jonathan Goodman: RInChI: Collecting and integrating more reaction data
Information Literacy in the Disinformation Era
Enabling FAIR Publication, Exchange, and Reuse of Chemistry Data
Ian Bruno: FAIR crystallographic data and services: Bridging academia and industry
Stuart Chalk: What's the future of digital chemistry units?
Jeremy Frey: What to do about ratios? Can digital units help?
David Hibbert: Units chemists use: IUPAC's mission to standardise and educate
Daniel Hutzschenreuter: International development of the SI in FAIR digital data
Damien Jeannerat: Forging better archive files
Joseph Wright: Semantic mark-up of (SI) units: siunitx for LaTeX