Jeffrey J. Gray

Jeffrey J. Gray

Johns Hopkins University

H-index: 61

North America-United States

About Jeffrey J. Gray

Jeffrey J. Gray, With an exceptional h-index of 61 and a recent h-index of 44 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Protein-protein docking, antibodies, glycoproteins, membrane proteins, deep learning.

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

Flexible protein–protein docking with a multitrack iterative transformer

Implicit model to capture electrostatic features of membrane environment

FLAb: Benchmarking deep learning methods for antibody fitness prediction

Thermostability Enhancement of GH 62 α-l-Arabinofuranosidase by Directed Evolution and Rational Design

Structure-based neural network predictions of protein-carbohydrate interactions

Virtually the same? Evaluating the effectiveness of remote undergraduate research experiences

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

Corrigendum to “Computational design of nanomolar-binding antibodies specific to multiple SARS-CoV-2 variants by engineering a specificity switch of antibody 80R using …

Jeffrey J. Gray Information

University

Position

Chemical and Biomolecular Engineering / Program in Molecular Biophysics

Citations(all)

16773

Citations(since 2020)

8791

Cited By

11272

hIndex(all)

61

hIndex(since 2020)

44

i10Index(all)

133

i10Index(since 2020)

110

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Jeffrey J. Gray Skills & Research Interests

Protein-protein docking

antibodies

glycoproteins

membrane proteins

deep learning

Top articles of Jeffrey J. Gray

Title

Journal

Author(s)

Publication Date

Flexible protein–protein docking with a multitrack iterative transformer

Protein Science

Lee‐Shin Chu

Jeffrey A Ruffolo

Ameya Harmalkar

Jeffrey J Gray

2024/2

Implicit model to capture electrostatic features of membrane environment

PLOS Computational Biology

Rituparna Samanta

Jeffrey J Gray

2024/1/22

FLAb: Benchmarking deep learning methods for antibody fitness prediction

bioRxiv

Michael Chungyoun

Jeffrey A Ruffolo

Jeffrey J Gray

2024

Thermostability Enhancement of GH 62 α-l-Arabinofuranosidase by Directed Evolution and Rational Design

Journal of Agricultural and Food Chemistry

Manoela Martins

Alberto M Dos Santos

Clauber HS da Costa

Samuel W Canner

Michael Chungyoun

...

2024/2/14

Structure-based neural network predictions of protein-carbohydrate interactions

Biophysical Journal

Samuel W Canner

Sudhanshu Shanker

Jeffrey J Gray

2024/2/8

Virtually the same? Evaluating the effectiveness of remote undergraduate research experiences

CBE—Life Sciences Education

Riley A Hess

Olivia A Erickson

Rebecca B Cole

Jared M Isaacs

Silvia Alvarez-Clare

...

2023

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

Nature communications

Jeffrey A Ruffolo

Lee-Shin Chu

Sai Pooja Mahajan

Jeffrey J Gray

2023/4/25

Corrigendum to “Computational design of nanomolar-binding antibodies specific to multiple SARS-CoV-2 variants by engineering a specificity switch of antibody 80R using …

Heliyon

Nancy E Hernandez

Wojciech Jankowski

Rahel Frick

Simon P Kelow

Joseph H Lubin

...

2023/8/1

Computational design of nanomolar-binding antibodies specific to multiple SARS-CoV-2 variants by engineering a specificity switch of antibody 80R using RosettaAntibodyDesign …

Heliyon

Nancy E Hernandez

Wojciech Jankowski

Rahel Frick

Simon P Kelow

Joseph H Lubin

...

2023/4/1

Reliable protein-protein docking with AlphaFold, Rosetta, and replica-exchange

bioRxiv

Ameya Harmalkar

Sergey Lyskov

Jeffrey J Gray

2023/7/29

Towards generalizable prediction of antibody thermostability using machine learning on sequence and structure features

Biophysical journal

Ameya Uddhav Harmalkar

Jeffrey J Gray

Kathy Wei

2023/2/10

Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features

Mabs

Ameya Harmalkar

Roshan Rao

Yuxuan Richard Xie

Jonas Honer

Wibke Deisting

...

2023/12/31

Contextual protein and antibody encodings from equivariant graph transformers

bioRxiv

Sai Pooja Mahajan

Jeffrey A Ruffolo

Jeffrey J Gray

2023/7/17

De novo design and Rosetta‐based assessment of high‐affinity antibody variable regions (Fv) against the SARS‐CoV‐2 spike receptor binding domain (RBD)

Proteins: Structure, Function, and Bioinformatics

Veda Sheersh Boorla

Ratul Chowdhury

Ranjani Ramasubramanian

Brandon Ameglio

Rahel Frick

...

2023/2

Structure-based neural network protein–carbohydrate interaction predictions at the residue level

Frontiers in Bioinformatics

Samuel W Canner

Sudhanshu Shanker

Jeffrey J Gray

2023/6/20

Impact of AlphaFold on structure prediction of protein complexes: the CASP15‐CAPRI experiment

Proteins: Structure, Function, and Bioinformatics

Marc F Lensink

Guillaume Brysbaert

Nessim Raouraoua

Paul A Bates

Marco Giulini

...

2023/12

Enhancement of antibody thermostability and affinity by computational design in the absence of antigen

bioRxiv

Mark Hutchinson

Jeffrey A Ruffolo

Nantaporn Haskins

Michael Iannotti

Giuliana Vozza

...

2023

AI models for protein design are driving antibody engineering

Michael Chungyoun

Jeffrey J Gray

2023/5/26

IgLM: Infilling language modeling for antibody sequence design

Cell Systems

Richard W Shuai

Jeffrey A Ruffolo

Jeffrey J Gray

2023/11/15

“How do we do this at a distance?!” A descriptive study of remote undergraduate research programs during COVID-19

CBE—Life Sciences Education

Olivia A Erickson

Rebecca B Cole

Jared M Isaacs

Silvia Alvarez-Clare

Jonathan Arnold

...

2022

See List of Professors in Jeffrey J. Gray University(Johns Hopkins University)

Co-Authors

H-index: 209
David Baker

David Baker

University of Washington

H-index: 88
Marc D. McKee

Marc D. McKee

McGill University

H-index: 71
Brian Kuhlman

Brian Kuhlman

University of North Carolina at Chapel Hill

H-index: 67
Roland Dunbrack

Roland Dunbrack

Temple University

H-index: 67
Rhiju Das

Rhiju Das

Stanford University

H-index: 65
Tanja Kortemme

Tanja Kortemme

University of California, San Francisco

academic-engine