Jeffrey Skolnick
Regent's Professor
Develops deep learning and computational methods for protein structure prediction and drug discovery.
Jeffrey Skolnick's lab at Georgia Tech works on proteins, drugs & materials and genomics & computational biology. 22 papers since 2023, 1 at top venues, mostly Bioinformatics and Journal of Chemical Information and Modeling. 59 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 5%
- PhD students
- —
- MS students
- —
- alumni listed
- 59
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 6 papers2024 · T1 1
- 5 papers2023 · T1 0
T1 venuesOtherVenues: Bioinformatics, Journal of Chemical Information and Modeling, PNAS
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials8 papers
- Genomics & computational biology1 paper
- protein structure0 papers
- structure prediction0 papers
- computational methods0 papers
Paper list
From the lab homepage.
20267 papers
- Comput. Struct. Biotechnol. JAdversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design
- coli protein interactome and functional networks. Nat. CommunCombining structural modeling and deep learning to calculate the E
- Journal of Chemical Information and ModelingGlueFinder: A Data-Driven Framework for the Rational Discovery of Molecular Glues
- PLoS Comput BiolMENDELSEEK: An algorithm that predicts Mendelian Genes and elucidates what makes them special
- J Biomed InformScalable discovery and validation of order-specific electronic health record event trajectories for interpretable adverse-outcome risk estimation
- J. Mol. BiolThe Advantages of AI for Computational Protein Studies and Looking Ahead at the Next Challenges: Single Structures Are Not Enough
- Nat. BiotechnolToward Mechanistic Virtual Immune Cells
20254 papers
- Scientific ReportsA mode-of-action protein based approach that characterizes the relationships among most major diseases
- BioinformaticsAF3Complex Yields Improved Structural Predictions of Protein Complexes
- Journal of Chemical Information and ModelingEntabolons: How metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways
- BMC BioinformaticsValsci: An Open-Source, Self-Hostable Literature Review Utility for Automated Large-Batch Scientific Claim Verification Using Large Language Models
20246 papers
- Gynecologic OncologyA Personalized Probabilistic Approach to Ovarian Cancer Diagnostics
- Protein ScienceFRAGSITE2: A Structure and Fragment Based Approach for Virtual Ligand Screening
- In Proceedings of theHiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification
- PNAS (T1)Improved deep learning prediction of antigen-antibody interactions
- StructurePredicting protein interactions of the kinase Lck critical to T cell modulation
- J. Phys. Chem. BUtility of the Morgan Fingerprint in Structure-Based Virtual Ligand Screening
20235 papers
- Scientific ReportsA wild boar cathelicidin peptide derivative inhibits severe acute respiratory syndrome coronavirus-2 and its drifted variants
- VirusesAtovaquone and Pibrentasvir Inhibit the SARS-CoV-2 Endoribonuclease and Restrict Infection In Vitro but Not In Vivo
- protein folding: Differing questions, different challenges. PNASOpinion: Protein folds vs
- BioinformaticsPredicted structural proteome of Sphagnum divinum and annotation with proteome-scale structural alignment
- J. Phys. Chem. BProtein Folding and Dynamics – An Overview on the Occasion of Harold Scheraga’s 100th Birthday
Where alumni went59 listed, 0% to industry
Industry 0Academia 1
Also to
- UIUC
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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