Author

Stephen Macaspac

Primary ORCID profile (0000-0003-1644-5525 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Stephen MacaspaciD1 paper · University of Hawaiʻi at Mānoa

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Ashley R. Vidad· 1 shared Ho Leung NgiD· 1 shared

Activity by Year

2016-2016 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Ashley R. Vidad

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1 paper

Recent·Most cited

Locating the ligand binding sites for the G-protein coupled estrogen receptor (GPER) using combined information from docking and sequence conservation

Ashley R. Vidad, Stephen Macaspac, Ho Leung Ng

The paper predicts the ligand binding sites for GPER using a hybrid scoring function that combines sequence conservation and docking results, identifying a deeper binding site than previous studies.

bioRxiv · Jun 29, 2016 · PreprintBioinformatics