Jeffrey Skolnick

Georgia Institute of Technology — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

88h-index27.0kcitations516works4.52yr avg
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Research Topics

Protein Structure and Dynamics(295), Enzyme Structure and Function(160), RNA and protein synthesis mechanisms(104), Machine Learning in Bioinformatics(72), Computational Drug Discovery Methods(68)

Publications516 total

Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design
2026Open Access
MENDELSEEK: An algorithm that predicts mendelian genes and elucidates what makes them special
PLoS Computational Biology·2026Open Access
GlueFinder: A Data-Driven Framework for the Rational Discovery of Molecular Glues
2025Open Access
Trajectories matter: Discovery and validation of ordered EHR sequences that inform clinical risk predictions
2025Open Access
AF3Complex yields improved structural predictions of protein complexes
Bioinformatics·2025· 5 citedOpen Access
Valsci: an open-source, self-hostable literature review utility for automated large-batch scientific claim verification using large language models
BMC Bioinformatics·2025· 4 citedOpen Access
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· 2 citedOpen Access
Combining structural modeling and deep learning to calculate the <i>E. coli</i> protein interactome and functional networks
2025· 1 citedOpen Access
MENDELSEEK: An algorithm that predicts Mendelian Genes and elucidates what makes them special
2025Open Access
A mode of action protein based approach that characterizes the relationships among most major diseases
Scientific Reports·2025· 2 citedOpen Access
AF3Complex Yields Improved Structural Predictions of Protein Complexes
2025· 5 citedOpen Access
Predicting protein interactions of the kinase Lck critical to T cell modulation
Structure·2024· 5 citedOpen Access
Improved deep learning prediction of antigen–antibody interactions
Proceedings of the National Academy of Sciences·2024· 11 citedOpen Access
High throughput, accurate gene annotation through AI and HPC-enabled structural analysis
2024Open Access
Utility of the Morgan Fingerprint in Structure-Based Virtual Ligand Screening
The Journal of Physical Chemistry B·2024· 25 citedOpen Access
Response to the letter to the editor
Gynecologic Oncology·2024
A personalized probabilistic approach to ovarian cancer diagnostics
Gynecologic Oncology·2024· 17 citedOpen Access
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification
2024· 4 citedOpen Access
<scp>FRAGSITE2</scp>: <scp>A</scp> structure and fragment‐based approach for virtual ligand screening
Protein Science·2023· 5 citedOpen Access
A Personalized Probabilistic Approach to Ovarian Cancer Diagnostics
2023· 1 citedOpen Access
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Frequent Co-authors

Andrzej Koliński(14), Yang Zhang(11), Mu Gao(5), Adam Godzik(4), Hui Lü(4), Adrián K. Arakaki(4), Daisuke Kihara(4), Hongyi Zhou(3), Jacquelyn S. Fetrow(3), Marshall Fixman(2), Piotr Rotkiewicz(2), Ángel R. Ortíz(2), Long Lu(2), Sitao Wu(1), Weidong Tian(1), Tadashi Ando(1), Michał Bryliński(1), Boris Reva(1), Alexei V. Finkelstein(1), Davi Nakajima An(1)