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Alexander Derry

Showing results (1-10 of 13) with videos related to

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Protein Science : a Publication of the Protein Society|December 15, 2022
COLLAPSE: A representation learning framework for identification and characterization of protein structural sitesAlexander Derry, Russ B Altman
Biorxiv : the Preprint Server for Biology|October 31, 2023
Explainable protein function annotation using local structure embeddingsAlexander Derry, Russ B Altman
Nature Methods|January 10, 2023
Neural networks primerAlexander Derry, Martin Krzywinski, Naomi Altman
Nature Methods|August 14, 2023
Convolutional neural networksAlexander Derry, Martin Krzywinski, Naomi Altman
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2025
Protein functional site annotation using local structure embeddingsAlexander Derry, Alp Tartici, Russ B Altman
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Training data composition affects performance of protein structure analysis algorithmsAlexander Derry, Kristy A Carpenter, Russ B Altman
Bioinformatics (Oxford, England)|June 26, 2025
Unsupervised learning reveals landscape of local structural motifs across protein classesAlexander Derry, Haim Krupkin, Alp Tartici, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare DiseasesDaniel N Sosa, Alexander Derry, Margaret Guo, et al.
Chemrxiv : the Preprint Server for Chemistry|June 9, 2020
Homology modeling of TMPRSS2 yields candidate drugs that may inhibit entry of SARS-CoV-2 into human cellsStefano Rensi, Allison Keys, Yu-Chen Lo, et al.
Nature Communications|February 9, 2022
Protein sequence design with a learned potentialNamrata Anand, Raphael Eguchi, Irimpan I Mathews, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Protein Science : a Publication of the Protein Society|December 15, 2022
COLLAPSE: A representation learning framework for identification and characterization of protein structural sitesAlexander Derry, Russ B Altman
Biorxiv : the Preprint Server for Biology|October 31, 2023
Explainable protein function annotation using local structure embeddingsAlexander Derry, Russ B Altman
Nature Methods|January 10, 2023
Neural networks primerAlexander Derry, Martin Krzywinski, Naomi Altman
Nature Methods|August 14, 2023
Convolutional neural networksAlexander Derry, Martin Krzywinski, Naomi Altman
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2025
Protein functional site annotation using local structure embeddingsAlexander Derry, Alp Tartici, Russ B Altman
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Training data composition affects performance of protein structure analysis algorithmsAlexander Derry, Kristy A Carpenter, Russ B Altman
Bioinformatics (Oxford, England)|June 26, 2025
Unsupervised learning reveals landscape of local structural motifs across protein classesAlexander Derry, Haim Krupkin, Alp Tartici, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare DiseasesDaniel N Sosa, Alexander Derry, Margaret Guo, et al.
Chemrxiv : the Preprint Server for Chemistry|June 9, 2020
Homology modeling of TMPRSS2 yields candidate drugs that may inhibit entry of SARS-CoV-2 into human cellsStefano Rensi, Allison Keys, Yu-Chen Lo, et al.
Nature Communications|February 9, 2022
Protein sequence design with a learned potentialNamrata Anand, Raphael Eguchi, Irimpan I Mathews, et al.
Pageof 2