26 citations · 31 across the 4 of their papers we have counts for
4 papers
The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
Narjes Ansari, César Feniou, Nicolaï Gouraud +13
Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio mo…
Dual-LAO for calculating fast and robust relative binding free energies of simple and complex transformations
Narjes Ansari, Félix Aviat, Jérôme Hénin +2
Relative Binding Free Energy (RBFE) calculations are a cornerstone of rational hit-to-lead and lead optimization in modern drug discovery. However, the high computational cost and…
Lambda-ABF-OPES: Faster Convergence with High Accuracy in Alchemical Free Energy Calculations
Narjes Ansari, Zhifeng Francis Jing, Antoine Gagelin +5
Predicting the binding affinity between small molecules and target macromolecules while combining both speed and accuracy, is a cornerstone of modern computational drug discovery w…
The Truncated Conjugate Gradient (TCG), a Non-iterative/Fixed-cost Strategy for Computing Polarization in Molecular Dynamics: Fast Evaluation of Analytical Forces
Félix Aviat, Louis Lagardère, Jean-Philip Piquemal
In a recent paper (J. Chem. Theory. Comput., 2017, 13, 180-190) we proposed the Truncated Conjugate Gradient (TCG) approach to compute the polarization energy and forces in polariz…