Jeffrey Skolnick

Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 29 papers. Top paper: “AF2Complex predicts direct physical interactions in multimeric proteins with deep learning”.

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning

Nature Communications(2022)10.1038/s41467-022-29394-2

N/A

0.844DataRank · unranked

277 citations

Davi Nakajima An, Jerry M. Parks, Jeffrey Skolnick, Mu Gao

Differential kinase activity of ACVR1 G328V and R206H mutations with implications to possible TβRI cross-talk in diffuse intrinsic pontine glioma

Scientific Reports(2020)10.1038/s41598-020-63061-0

N/A

0DataRank · unranked

8 citations

Miao Jin, Mu Gao, Hongyi Zhou, Yizhi Jane Tao, Jeffrey Skolnick +1 more

Antimalarial Peptide and Polyketide Natural Products from the Fijian Marine Cyanobacterium Moorea producens

Marine Drugs(2020)10.3390/md18030167

N/A

0DataRank · unranked

46 citations

Kerstin Gagaring, Jenya Antonova-Koch, Hongyi Zhou, Nazia Mojib, Katy Soapi +4 more

Spatial heterogeneity of glioblastoma cells reveals sensitivity to NAD + depletion at tumor edge

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.26.399725

N/A

0DataRank · unranked

3 citations

Davide Botta, Hee Jin Cho, Xiaoxian Guo, Saya Ozaki, Victoria L. Flanary +18 more

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

Scientific Reports(2021)10.1038/s41598-021-00368-6

N/A

0DataRank · unranked

6 citations

Hongyi Zhou, Joshy Jacob, Jeffrey Skolnick, Courtney Astore

A General Framework to Learn Tertiary Structure for Protein Sequence Characterization

Frontiers in Bioinformatics(2021)10.3389/fbinf.2021.689960

N/A

0DataRank · unranked

5 citations

Jeffrey Skolnick, Mu Gao

AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function

FIA Kenkyu Kondankai kaishi/Journal of flow injection analysis(2021)10.1021/acs.jcim.1c01114

N/A

0DataRank · unranked

259 citations

Mu Gao, Hongyi Zhou, Suresh B. Singh, Jeffrey Skolnick

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function

PubMed(2021)10.1109/mlhpc54614.2021.00010

N/A

0DataRank · unranked

13 citations

Peik K. Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen +12 more

Predicting direct physical interactions in multimeric proteins with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.09.467949

N/A

0DataRank · unranked

2 citations

Davi Nakajima An, Jerry M. Parks, Jeffrey Skolnick, Mu Gao

MOATAI-VIR - an AI algorithm that predicts severe adverse events and molecular features for COVID-19’s complications

medRxiv(2021)10.1101/2021.01.29.21250712

N/A

0DataRank · unranked

0 citations

Hongyi Zhou, Joshy Jacob, Jeffrey Skolnick, Courtney Astore

A general framework to learn tertiary structure for protein sequence characterization

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.01.438098

N/A

0DataRank · unranked

0 citations

Jeffrey Skolnick, Mu Gao

LeMeDISCO: A computational method for large-scale prediction & molecular interpretation of disease comorbidity

medRxiv(2021)10.1101/2021.06.28.21259559

N/A

0DataRank · unranked

0 citations

Hongyi Zhou, Jeffrey Skolnick, Courtney Astore

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

Nature Communications(2022)10.1038/s41467-022-34600-2

N/A

0DataRank · unranked

56 citations

Jian Liu, Jeffrey Skolnick, Jianlin Cheng, Zhiye Guo

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

Communications Biology(2022)10.1038/s42003-022-03816-9

N/A

0DataRank · unranked

8 citations

Hongyi Zhou, Bartosz Ilkowski, Jessica Forness, Jeffrey Skolnick, Courtney Astore

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

Scientific Reports(2022)10.1038/s41598-022-25412-x

N/A

0DataRank · unranked

2 citations

Courtney Astore, Jeffrey Skolnick, Hongyi Zhou

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

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.19.496734

N/A

0DataRank · unranked

7 citations

Jian Liu, Jeffrey Skolnick, Jianlin Cheng, Zhiye Guo

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

Research Square(2022)10.21203/rs.3.rs-1658872/v1

N/A

0DataRank · unranked

5 citations

Jian Liu, Jeffrey Skolnick, Jianlin Cheng, Zhiye Guo

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

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.25.505253

N/A

0DataRank · unranked

0 citations

Davi Nakajima An, Jeffrey Skolnick, Mu Gao

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

Scientific Reports(2023)10.1038/s41598-023-41850-7

N/A

0DataRank · unranked

2 citations

Karla Navarrete, Nicholas A. Arce, Mu Gao, Gordon Dale, Meredith E. Davis-Gardner +12 more

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

Protein Science(2023)10.1002/pro.4869

N/A

0DataRank · unranked

5 citations

Jeffrey Skolnick, Hongyi Zhou

Utility of the Morgan Fingerprint in Structure-Based Virtual Ligand Screening

The Journal of Physical Chemistry B(2024)10.1021/acs.jpcb.4c01875

N/A

0DataRank · unranked

38 citations

Jeffrey Skolnick, Hongyi Zhou

Improved deep learning prediction of antigen–antibody interactions

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2410529121

N/A

0DataRank · unranked

16 citations

Jeffrey Skolnick, Mu Gao

Predicting protein interactions of the kinase Lck critical to T cell modulation

Structure(2024)10.1016/j.str.2024.09.010

N/A

0DataRank · unranked

7 citations

Jeffrey Skolnick, Mu Gao

AF3Complex yields improved structural predictions of protein complexes

Bioinformatics(2025)10.1093/bioinformatics/btaf432

N/A

0DataRank · unranked

12 citations

Jeffrey Skolnick, Jonathan Feldman

Valsci: an open-source, self-hostable literature review utility for automated large-batch scientific claim verification using large language models

BMC Bioinformatics(2025)10.1186/s12859-025-06159-4

N/A

0DataRank · unranked

6 citations

Jeffrey Skolnick, Brice Edelman

Entabolons: How Metabolites Modify the Biochemical Function of Proteins and Cause the Correlated Behavior of Proteins in Pathways

Journal of Chemical Information and Modeling(2025)10.1021/acs.jcim.5c00462

N/A

0DataRank · unranked

3 citations

Bharath Srinivasan, Samuel Skolnick, Brice Edelman, Hongyi Zhou, Jeffrey Skolnick

GlueFinder: A Data-Driven Framework for the Rational Discovery of Molecular Glues

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.17.683126

N/A

0DataRank · unranked

1 citations

Bharath Srinivasan, Hongyi Zhou, Jeffrey Skolnick

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

Bioinformatics(2020)10.1093/bioinformatics/btaa810

N/A

0DataRank · unranked

20 citations

Jeffrey Skolnick, Mu Gao

Trajectories matter: Discovery and validation of ordered EHR sequences that inform clinical risk predictions

medRxiv(2025)10.1101/2025.09.14.25335720

N/A

0DataRank · unranked

0 citations

Hannah Kim, Jeffrey Skolnick, Brice Edelman