Virtual 2022
Description
The 2022 Virtual Workshop on Free Energy Methods in Drug Design, hosted by the Alchemistry organization, focused on the application of free energy methods in the field of drug discovery. The workshop took place over the couse of two days, September 21-22nd, 2022. The workshop brought together experts in computational chemistry, molecular dynamics, and drug design to discuss cutting-edge techniques for predicting and optimizing the binding affinity of drug candidates to their targets.
Organization Committee
Schedule
September 21st, 2022 (Day 1)
| Time (EST) |
Speaker |
Title |
| 10:45 |
INTRODUCTION |
|
| 11:00 |
Jenke Scheen |
Data-driven Generation of Perturbation Networks for Relative Binding Free Energy Calculations |
| 11:20 |
Mary Pitman |
Optimal is not enough, beyond free energy perturbation designs |
| 11:40 |
Michael Gillhofer |
Enhancing the results of relative binding free energy calculations by making use of clustering of ligand series and optimization of perturbation networks |
| 12:00 |
POSTER SESSION (A) |
|
| 12:50 |
Narjes Ansari |
The role of water in the static and dynamic properties of ligand-protein binding |
| 1:10 |
Jaehoon Yang |
A new approach to the multiple potential problem in statistical mechanics |
| 1:30 |
Xinqiang Ding |
DeepBAR: A Fast and Exact Method for Binding Free Energy Computation |
| 1:50 |
BREAK |
|
| 2:10 |
Richard Gowers |
OpenFE: Towards Reproducible Open-Source Alchemical Free Energy Calculations |
| 2:30 |
Ivy Zhang |
Exploration of sampling challenges in estimating the relative binding free energies of protein mutations in protein-protein interactions |
September 22nd, 2022 (Day 2)
| Time (EST) |
Speaker |
Title |
| 10:55 |
INTRODUCTION |
|
| 11:00 |
Linfeng Zhang |
AI Engineering of FEP, by FEP and for FEP |
| 11:20 |
Emilia P. Barros |
Accounting for solvation correlation effects in the computational prediction of water energetics |
| 11:40 |
BREAK |
|
| 12:00 |
Ollie Melling |
Enhanced grand canonical sampling of occluded water sites using nonequilibrium candidate Monte Carlo |
| 12:20 |
Will Poole |
Expansion of Grand Canonical Monte Carlo to Sample the Binding of Small Molecules |
| 12:40 |
POSTER SESSION (B) |
|
| 1:20 |
Ana Rojas |
Predictions of aqueous crystalline solubility using a free energy perturbation approach |
| 1:50 |
Anastasia Saar |
Absolute Free Energy Calculations for Ranking Binding Affinities of SARS-CoV-2 Main Protease Inhibitors |
| 2:10 |
Alexander Williams |
Exploration of sampling challenges in estimating the relative binding free energies of protein mutations in protein-protein interactions |
Online Poster Session
September 21st, 2022 (Day 1; Session A)
| Presenter |
Title |
| Sondos Musleh |
Absolute Binding Free Energy Calculations of Monosaccharide and Oligosaccharide Ligands of Concanavalin A |
| J. Jasmin Güven |
Putting potential inhibitors for beta-lactamases under the alchemical microscope |
| Anna Cavalleri |
Reparameterising Ligand Force Field Paremeters for application in Relative Binding Free Energies |
| Matheus Ferraz |
Artificial neural network to predict the free energy of binding for protein-protein complexes from Rosetta calculated parameters |
| Adele Hardie |
Deconstructing Allostery: Computational Assessment of the Binding Determinants of Allosteric PTP1B Modulators |
| Mateusz Bieniek |
FEgrow: An Open-source molecular builder and free energy preparation workflow |
September 22nd, 2022 (Day 2; Session B)
| Presenter |
Title |
| Sondos Musleh |
Absolute Binding Free Energy Calculations of Monosaccharide and Oligosaccharide Ligands of Concanavalin A. |
| J. Jasmin Güven |
Putting potential inhibitors for beta-lactamases under the alchemical microscope |
| Anna Cavalleri |
Reparameterising Ligand Force Field Paremeters for application in Relative Binding Free Energies |
| Matheus Ferraz |
Artificial neural network to predict the free energy of binding for protein-protein complexes from Rosetta calculated parameters |
| Adele Hardie |
Deconstructing Allostery: Computational Assessment of the Binding Determinants of Allosteric PTP1B Modulators |
| Mateusz Bieniek |
FEgrow: An Open-source molecular builder and free energy preparation workflow |