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

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

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

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

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

Google Scholar

Jeffrey Skolnick Skills & Research Interests

Drug Discovery

Personalized Medicine

Virtual Ligand Screening

Prediction of Adverse Drug Events

Top articles of Jeffrey Skolnick

A personalized probabilistic approach to ovarian cancer diagnostics

Gynecologic Oncology

2024/3/1

Dongjo Ban
Dongjo Ban

H-Index: 2

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification

arXiv preprint arXiv:2402.01696

2024/1/24

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

Protein Science

2024/1

Hongyi Zhou
Hongyi Zhou

H-Index: 19

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

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

Scientific Reports

2023/9/5

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

Viruses

2023/8/30

Predicted structural proteome of Sphagnum divinum and proteome-scale annotation

Bioinformatics

2023/8/1

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

2023/4/6

Shalom Rackovsky
Shalom Rackovsky

H-Index: 8

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

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

Elife

2022/12/28

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

Scientific Reports

2022/12/3

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

Nature Communications

2022/11/15

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

The Journal of Physical Chemistry B

2022/8/31

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

Hongyi Zhou
Hongyi Zhou

H-Index: 19

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

Communications Biology

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

2022/5/1

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning

Nature communications

2022/4/1

Computational identification of stearic acid as a potential PDK1 inhibitor and in vitro validation of stearic acid as colon cancer therapeutic in combination with 5-fluorouracil

Cancer Informatics

2021/12

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

High-performance deep learning toolbox for genome-scale prediction of protein structure and function

2021/11/15

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

Scientific Reports

2021/10/21

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

Journal of chemical information and modeling

2021/9/29

The role of local versus nonlocal physicochemical restraints in determining protein native structure

2021/6/1

Jeffrey Skolnick
Jeffrey Skolnick

H-Index: 38

Mu Gao
Mu Gao

H-Index: 20

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

Co-Authors

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