22 citations · 23 across the 3 of their papers we have counts for
3 papers
q-bio.BM2022
The DynaSig-ML Python package: automated learning of biomolecular dynamics-function relationships
Olivier Mailhot, Francois Major, Rafael Najmanovich
Summary: The DynaSig-ML (Dynamical Signatures - Machine Learning) Python package allows the efficient, user-friendly exploration of 3D dynamics-function relationships in biomolecul…
q-bio.BM2020★ 22 cited
The NRGTEN Python package: an extensible toolkit for coarse-grained normal mode analysis of proteins, nucleic acids, small molecules and their complexes
Olivier Mailhot, Rafael Najmanovich
Summary: Coarse-grained normal mode analysis (NMA) is a fast computational technique to study the dynamics of biomolecules. Here we present the Najmanovich Research Group Toolkit f…
q-bio.BM2013★ 1 cited
Protein flexibility upon ligand binding: Docking predictions and statistical analysis
Rafael Najmanovich
Side chain flexibility is an important factor in ligand binding. In order to determine the extent to which side chain flexibility is involved in ligand binding, a knowledge-based a…