ProfessorsProfessors of Stanford UniversityVijay Pande

Vijay Pande

Stanford University

H-index: 117

North America-United States

About Vijay Pande

Vijay Pande, With an exceptional h-index of 117 and a recent h-index of 72 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Biophysics, statistical mechanics, protein folding, computational biology, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and Methods for Spatial Graph Convolutions with Applications to Drug Discovery and Molecular Simulation

Folding@ home: achievements from over twenty years of citizen science herald the exascale era

Openmm 8: Molecular dynamics simulation with machine learning potentials

Ligands of the mu, kappa, and delta opioid receptors

Systems and Methods for Active Transfer Learning with Deep Featurization

Computational IR spectroscopy of insulin dimer structure and conformational heterogeneity

A Modular DNA Scaffold to Study Protein-Protein Interactions at Single-Molecule Resolution

A targeted computational screen of the SWEETLEAD database reveals FDA-approved compounds with anti-dengue viral activity

Vijay Pande Information

University	Stanford University
Position	Andreessen Horowitz
Citations(all)	58411
Citations(since 2020)	27617
Cited By	41357
hIndex(all)	117
hIndex(since 2020)	72
i10Index(all)	333
i10Index(since 2020)	224
Email	Access Email
University Profile Page	Stanford University
Google Scholar	View Google Scholar Profile

Vijay Pande Skills & Research Interests

Biophysics

statistical mechanics

protein folding

computational biology

deep learning

Top articles of Vijay Pande

Title	Journal	Author(s)	Publication Date
Systems and Methods for Spatial Graph Convolutions with Applications to Drug Discovery and Molecular Simulation			2023/9/7
Folding@ home: achievements from over twenty years of citizen science herald the exascale era		Vincent A Voelz Vijay S Pande Gregory R Bowman	2023/3/15
Openmm 8: Molecular dynamics simulation with machine learning potentials	The Journal of Physical Chemistry B	Peter Eastman Raimondas Galvelis Raúl P Peláez Charlles RA Abreu Stephen E Farr ...	2023/12/28
Ligands of the mu, kappa, and delta opioid receptors			2022/1/4
Systems and Methods for Active Transfer Learning with Deep Featurization			2021/11/18
Computational IR spectroscopy of insulin dimer structure and conformational heterogeneity	The Journal of Physical Chemistry B	Chi-Jui Feng Anton Sinitskiy Vijay Pande Andrei Tokmakoff	2021/4/30
A Modular DNA Scaffold to Study Protein-Protein Interactions at Single-Molecule Resolution	Biophysical Journal	Dorota N Kostrz Hannah K Wayment-Steele Jinglong Wang Maryne Follenfant Vijay S Pande ...	2020/2/7
A targeted computational screen of the SWEETLEAD database reveals FDA-approved compounds with anti-dengue viral activity	Mbio	Jasmine Moshiri David A Constant Bowen Liu Roberto Mateo Steven Kearnes ...	2020/12/22
Improvement in ADMET prediction with multitask deep featurization	Journal of Medicinal Chemistry	Evan Feinberg Elizabeth M Joshi Vijay S Pande Alan Cheng	2020/4/14
Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating	PLoS Computational Biology	Keri A McKiernan Anna K Koster Merritt Maduke Vijay S Pande	2020/3/30
Deep Learning für die Biowissenschaften: Einsatz von Deep Learning in Genomik, Biophysik, Mikroskopie und medizinischer Analyse		Bharath Ramsundar Peter Eastman Patrick Walters Vijay Pande	2020/2/25
Rep-X: An evolution-guided Strategy for the Rational Design of cysteine-less protein Variants	Scientific Reports	Kevin Dalton Tom Lopez Vijay Pande Judith Frydman	2020/2/10