Emilio Gallicchio

Orcid: 0000-0002-2606-4913

According to our database1, Emilio Gallicchio authored at least 29 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing Protein-Ligand Binding Affinity Predictions Using Neural Network Potentials.
J. Chem. Inf. Model., March, 2024

Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands.
J. Chem. Inf. Model., January, 2024

2023
Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular Series.
J. Chem. Inf. Model., April, 2023

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials.
CoRR, 2023

2022
Relative Binding Free Energy Calculations for Ligands with Diverse Scaffolds with the Alchemical Transfer Method.
J. Chem. Inf. Model., 2022

Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge.
J. Comput. Aided Mol. Des., 2022

2019
Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network.
J. Chem. Inf. Model., 2019

A grid-based algorithm in conjunction with a gaussian-based model of atoms for describing molecular geometry.
J. Comput. Chem., 2019

2017
Efficient gaussian density formulation of volume and surface areas of macromolecules on graphical processing units.
J. Comput. Chem., 2017

Erratum to: A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge.
J. Comput. Aided Mol. Des., 2017

A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge.
J. Comput. Aided Mol. Des., 2017

2016
Large scale free energy calculations for blind predictions of protein-ligand binding: the D3R Grand Challenge 2015.
J. Comput. Aided Mol. Des., 2016

2015
Large-scale asynchronous and distributed multidimensional replica exchange molecular simulations and efficiency analysis.
J. Comput. Chem., 2015

BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge.
J. Comput. Aided Mol. Des., 2015

Asynchronous replica exchange software for grid and heterogeneous computing.
Comput. Phys. Commun., 2015

2014
Virtual screening of integrase inhibitors by large scale binding free energy calculations: the SAMPL4 challenge.
J. Comput. Aided Mol. Des., 2014

2013
A framework for flexible and scalable replica-exchange on production distributed CI.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

2012
Prediction of SAMPL3 host-guest affinities with the binding energy distribution analysis method (BEDAM).
J. Comput. Aided Mol. Des., 2012

The anatomy of successful ECSS projects: lessons of supporting high-throughput high-performance ensembles on XSEDE.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012

2010
Conformational populations of ligand-sized molecules by replica exchange molecular dynamics and temperature reweighting.
J. Comput. Chem., 2010

2008
Asynchronous replica exchange for molecular simulations.
J. Comput. Chem., 2008

2006
Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Applications.
Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

2005
Integrated Modeling Program, Applied Chemical Theory (IMPACT).
J. Comput. Chem., 2005

2004
AGBNP: An analytic implicit solvent model suitable for molecular dynamics simulations and high-resolution modeling.
J. Comput. Chem., 2004

2003
The Rutgers Computational Grid: A Distributed Linux PC Cluster.
Clust. Comput., 2003

2002
The SGB/NP hydration free energy model based on the surface generalized born solvent reaction field and novel nonpolar hydration free energy estimators.
J. Comput. Chem., 2002

2001
Solvent models for protein-ligand binding: Comparison of implicit solvent poisson and surface generalized born models with explicit solvent simulations.
J. Comput. Chem., 2001

The Rutgers Computational Grid Based on Linux PC Cluster.
Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

1993
FORTRAN routine to compute Born-Oppenheimer potential energy curves directly from spectroscopic data.
J. Comput. Chem., 1993


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