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Samuel Sledzieski
Samuel Sledzieski
PhD Student in Computer Science, Massachusetts Institute of Tehchnology
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions
S Sledzieski, R Singh, L Cowen, B Berger
Cell Systems 12 (10), 969-982. e6, 2021
136*2021
Contrastive learning in protein language space predicts interactions between drugs and protein targets
R Singh, S Sledzieski, B Bryson, L Cowen, B Berger
Proceedings of the National Academy of Sciences 120 (24), e2220778120, 2023
88*2023
Topsy-Turvy: integrating a global view into sequence-based PPI prediction
R Singh, K Devkota, S Sledzieski, B Berger, L Cowen
Bioinformatics 38 (Supplement_1), i264-i272, 2022
492022
Democratizing protein language models with parameter-efficient fine-tuning
S Sledzieski, M Kshirsagar, M Baek, R Dodhia, J Lavista Ferres, B Berger
Proceedings of the National Academy of Sciences 121 (26), e2405840121, 2024
192024
Transfer of Knowledge from Model Organisms to Evolutionarily Distant Non-Model Organisms: The Coral Pocillopora damicornis Membrane Signaling Receptome
L Kumar, N Brenner, S Sledzieski, M Olaosebikan, M Lynn-Goin, ...
bioRxiv, 2021
112021
Learning the language of antibody hypervariability
R Singh, C Im, Y Qiu, B Mackness, A Gupta, T Sorenson, S Sledzieski, ...
bioRxiv, 2023.04. 26.538476, 2023
102023
TreeFix-TP: Phylogenetic Error-Correction for Infectious Disease Transmission Network Inference
S Sledzieski, C Zhang, I Mandoiu, MS Bansal
Pacific Symposium on Biocomputing 2021, 119-130, 2021
102021
TT3D: Leveraging precomputed protein 3D sequence models to predict protein–protein interactions
S Sledzieski, K Devkota, R Singh, L Cowen, B Berger
Bioinformatics 39 (11), btad663, 2023
92023
virDTL: Viral recombination analysis through phylogenetic reconciliation and its application to sarbecoviruses and SARS-CoV-2
S Zaman, S Sledzieski, B Berger, YC Wu, MS Bansal
Journal of Computational Biology 30 (1), 3-20, 2023
6*2023
Single-cell mosaicism analysis reveals cell-type-specific somatic mutational burden in Alzheimer’s Dementia
M Kousi, C Boix, YP Park, H Mathys, S Sledzieski, Z Peng, DA Bennett, ...
bioRxiv, 2022.04. 21.489103, 2022
42022
Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm
M Kshirsagar, A Meller, I Humphreys, S Sledzieski, Y Xu, R Dodhia, ...
Research Square, 2024
12024
Insulin Signaling and Pharmacology in Corals
W Vizgaudis, L Kumar, M Olaosebikan, L Roger, N Brenner, S Sledzieski, ...
2024
Decoding the Functional Interactome of Non-Model Organisms with PHILHARMONIC
S Sledzieski, C Versavel, R Singh, F Ocitti, K Devkota, L Kumar, ...
bioRxiv, 2024.10. 25.620267, 2024
2024
Learning the language of biomolecular interactions
S Sledzieski
Massachusetts Institute of Technology, 2024
2024
Structurally Motivated Deep Learning for Genome Scale Protein Interaction Prediction
S Sledzieski
Massachusetts Institute of Technology, 2021
2021
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