Author

Mary S. Silva

Lawrence Livermore National Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Jeffrey A. DroccoiD· 2 shared Adam T ZemlaiD· 1 shared Jonathan AlleniD· 1 shared Marisa W. Torres· 1 shared Sarah H. SandholtziD· 1 shared Sean C. Huckleberry· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Jeffrey A. DroccoORCID

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Author profile →

2 papers

Recent·Most cited

Classifying Genetic Interactions Using an HIV Experimental Study

Sean C. Huckleberry, Mary S. Silva, Jeffrey A. Drocco

The paper develops classification models to identify host genes crucial for HIV and Sars-CoV-2 life cycles, using graph embeddings and Siamese networks to predict gene interactions.

bioRxiv · May 13, 2024 · PreprintBioinformatics

A Computational Pipeline to Identify and Characterize Binding Sites and Interacting Chemotypes in SARS-CoV-2

Sarah H. Sandholtz, Jeffrey A. Drocco, Adam T Zemla, Marisa W. Torres, Mary S. Silva, Jonathan Allen

This paper introduces a computational pipeline to identify and characterize binding sites and interacting chemotypes in SARS-CoV-2 proteins using structural modeling and cheminformatic techniques.

ACS Omega · Jun 6, 2023Peer-reviewedBioinformatics