Jeffrey Skolnick

Jeffrey Skolnick

Georgia Institute of Technology

H-index: 95

North America-United States

About Jeffrey Skolnick

Jeffrey Skolnick, With an exceptional h-index of 95 and a recent h-index of 36 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Drug Discovery, Personalized Medicine, Virtual Ligand Screening, Prediction of Adverse Drug Events.

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

A personalized probabilistic approach to ovarian cancer diagnostics

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification

FRAGSITE2: A structure and fragment‐based approach for virtual ligand screening

Protein Folding and Dynamics─ An Overview on the Occasion of Harold Scheraga’s 100th Birthday

Protein folds vs. protein folding: Differing questions, different challenges

A wild boar cathelicidin peptide derivative inhibits severe acute respiratory syndrome coronavirus-2 and its drifted variants

Atovaquone and Pibrentasvir Inhibit the SARS-CoV-2 Endoribonuclease and Restrict Infection In Vitro but Not In Vivo

Predicted structural proteome of Sphagnum divinum and proteome-scale annotation

Jeffrey Skolnick Information

University

Position

___

Citations(all)

34729

Citations(since 2020)

7334

Cited By

29674

hIndex(all)

95

hIndex(since 2020)

36

i10Index(all)

317

i10Index(since 2020)

123

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Jeffrey Skolnick Skills & Research Interests

Drug Discovery

Personalized Medicine

Virtual Ligand Screening

Prediction of Adverse Drug Events

Top articles of Jeffrey Skolnick

Title

Journal

Author(s)

Publication Date

A personalized probabilistic approach to ovarian cancer diagnostics

Gynecologic Oncology

Dongjo Ban

Stephen N Housley

Lilya V Matyunina

L DeEtte McDonald

Victoria L Bae-Jump

...

2024/3/1

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification

arXiv preprint arXiv:2402.01696

Vidit Jain

Mukund Rungta

Yuchen Zhuang

Yue Yu

Zeyu Wang

...

2024/1/24

FRAGSITE2: A structure and fragment‐based approach for virtual ligand screening

Protein Science

Hongyi Zhou

Jeffrey Skolnick

2024/1

Protein Folding and Dynamics─ An Overview on the Occasion of Harold Scheraga’s 100th Birthday

Gia G Maisuradze

Gaetano T Montelione

Shalom Rackovsky

Jeffrey Skolnick

2023/4/6

Protein folds vs. protein folding: Differing questions, different challenges

Proceedings of the National Academy of Sciences

Shi-Jie Chen

Mubashir Hassan

Robert L Jernigan

Kejue Jia

Daisuke Kihara

...

2023/1/3

A wild boar cathelicidin peptide derivative inhibits severe acute respiratory syndrome coronavirus-2 and its drifted variants

Scientific Reports

Troy von Beck

Karla Navarrete

Nicholas A Arce

Mu Gao

Gordon A Dale

...

2023/9/5

Atovaquone and Pibrentasvir Inhibit the SARS-CoV-2 Endoribonuclease and Restrict Infection In Vitro but Not In Vivo

Viruses

Troy von Beck

Luis Mena Hernandez

Hongyi Zhou

Katharine Floyd

Mehul S Suthar

...

2023/8/30

Predicted structural proteome of Sphagnum divinum and proteome-scale annotation

Bioinformatics

Russell B Davidson

Mark Coletti

Mu Gao

Bryan Piatkowski

Avinash Sreedasyam

...

2023/8/1

Implications of the essential role of small molecule ligand binding pockets in protein–protein interactions

The Journal of Physical Chemistry B

Jeffrey Skolnick

Hongyi Zhou

2022/8/31

LeMeDISCO is a computational method for large-scale prediction & molecular interpretation of disease comorbidity

Communications Biology

Courtney Astore

Hongyi Zhou

Bartosz Ilkowski

Jessica Forness

Jeffrey Skolnick

2022/8/25

Repurposed antibiotic and antiviral drugs inhibit the immune evasive endoribonuclease of SARS-CoV-2 and restrict coronavirus infection in vitro

The Journal of Immunology

Troy Alexander von Beck

Luis Mena Hernandez

Hongyi Zhou

Jeffrey Skolnick

Joshy Jacob

2022/5/1

Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria

Elife

Mu Gao

Davi Nakajima An

Jeffrey Skolnick

2022/12/28

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning

Nature communications

Mu Gao

Davi Nakajima An

Jerry M Parks

Jeffrey Skolnick

2022/4/1

PHEVIR: an artificial intelligence algorithm that predicts the molecular role of pathogens in complex human diseases

Scientific Reports

Hongyi Zhou

Courtney Astore

Jeffrey Skolnick

2022/12/3

Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

Nature Communications

Zhiye Guo

Jian Liu

Jeffrey Skolnick

Jianlin Cheng

2022/11/15

FRAGSITE: A fragment-based approach for virtual ligand screening

Journal of chemical information and modeling

Hongyi Zhou

Hongnan Cao

Jeffrey Skolnick

2021/3/16

Prediction of severe adverse events, modes of action and drug treatments for COVID-19’s complications

Scientific Reports

Courtney Astore

Hongyi Zhou

Joshy Jacob

Jeffrey Skolnick

2021/10/21

A novel sequence alignment algorithm based on deep learning of the protein folding code

Bioinformatics

Mu Gao

Jeffrey Skolnick

2021/2/15

AlphaFold 2: why it works and its implications for understanding the relationships of protein sequence, structure, and function

Journal of chemical information and modeling

Jeffrey Skolnick

Mu Gao

Hongyi Zhou

Suresh Singh

2021/9/29

On the emergence of homochirality and life itself

The biochemist

Jeffrey Skolnick

Mu Gao

2021/2/3

See List of Professors in Jeffrey Skolnick University(Georgia Institute of Technology)

Co-Authors

H-index: 97
Adam Godzik

Adam Godzik

University of California, Riverside

H-index: 89
Eugene Shakhnovich

Eugene Shakhnovich

Harvard University

H-index: 86
Yang Zhang

Yang Zhang

University of Michigan-Dearborn

H-index: 67
Andrzej Kolinski

Andrzej Kolinski

Uniwersytet Warszawski

H-index: 56
Daisuke Kihara

Daisuke Kihara

Purdue University

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