User profiles for Negin Forouzesh

Negin Forouzesh

Assistant Professor of Computer Science, California State University, Los Angeles
Verified email at calstatela.edu
Cited by 248

Grid-based surface generalized Born model for calculation of electrostatic binding free energies

N Forouzesh, S Izadi, AV Onufriev - Journal of chemical …, 2017 - ACS Publications
Fast and accurate calculation of solvation free energies is central to many applications,
such as rational drug design. In this study, we present a grid-based molecular surface …

Multidimensional global optimization and robustness analysis in the context of protein–ligand binding

N Forouzesh, A Mukhopadhyay… - Journal of chemical …, 2020 - ACS Publications
Accuracy of protein–ligand binding free energy calculations utilizing implicit solvent models
is critically affected by parameters of the underlying dielectric boundary, specifically, the …

AmberTools

…, VWD Cruzeiro, N Forouzesh… - Journal of chemical …, 2023 - ACS Publications
AmberTools is a free and open-source collection of programs used to set up, run, and
analyze molecular simulations. The newer features contained within AmberTools23 are …

[HTML][HTML] An effective MM/GBSA protocol for absolute binding free energy calculations: A case study on SARS-CoV-2 spike protein and the human ACE2 receptor

N Forouzesh, N Mishra - Molecules, 2021 - mdpi.com
The binding free energy calculation of protein–ligand complexes is necessary for research
into virus–host interactions and the relevant applications in drug discovery. However, many …

[HTML][HTML] A Physics-Guided Neural Network for Predicting Protein–Ligand Binding Free Energy: From Host–Guest Systems to the PDBbind Database

S Cain, A Risheh, N Forouzesh - Biomolecules, 2022 - mdpi.com
Calculation of protein–ligand binding affinity is a cornerstone of drug discovery. Classic
implicit solvent models, which have been widely used to accomplish this task, lack accuracy …

Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the Experiment

…, LH Elder, DE Folescu, N Forouzesh… - Journal of Chemical …, 2023 - ACS Publications
The accuracy of computational models of water is key to atomistic simulations of biomolecules.
We propose a computationally efficient way to improve the accuracy of the prediction of …

Binding free energy of the novel coronavirus spike protein and the human ace2 receptor: An mmgb/sa computational study

N Forouzesh - Proceedings of the 11th ACM International Conference …, 2020 - dl.acm.org
The ability to estimate protein-protein binding free energy in a computationally efficient via a
physics-based approach is beneficial to research focused on the mechanism of viruses …

[HTML][HTML] MMGB/SA Consensus Estimate of the Binding Free Energy Between the Novel Coronavirus Spike Protein to the Human ACE2 Receptor.

N Forouzesh, AV Onufriev - BioRxiv, 2020 - ncbi.nlm.nih.gov
The ability to estimate protein-protein binding free energy in a computationally efficient via a
physics-based approach is beneficial to research focused on the mechanism of viruses …

Molecular Docking Improved With Human Spatial Perception Using Virtual Reality

…, D Krum, N Forouzesh - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Adaptive steered molecular dynamics (ASMD) is a computational biophysics method in which
an external force is applied to a selected set of atoms or a specific reaction coordinate to …

Calculation of protein-ligand binding entropies using a rule-based molecular fingerprint

A Risheh, A Rebel, PS Nerenberg, N Forouzesh - Biophysical Journal, 2024 - cell.com
The use of fast in silico prediction methods for protein-ligand binding free energies holds
significant promise for the initial phases of drug development. Numerous traditional physics-…