Author

Allen C. McBride

Duke UniversityORCID 0000-0002-6332-5457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Bruce Randall DonaldiD· 2 shared Aimee Chi Soe· 1 shared Aulane Mpouli· 1 shared Edward H. Cheng· 1 shared Feng YuiD· 1 shared Gaetano Thomas MontelioneiD· 1 shared Henry ChildsiD· 1 shared Michal HammeliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Bruce Randall DonaldORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 21, 2025

CCK* (Convex Closure K*): A Suite of Algorithms for De Novo L- and D-peptide Design

Henry Childs, Allen C. McBride, Bruce Randall Donald

The paper introduces CCK*, a suite of algorithms for de novo design of L- and D-peptides, integrating data-driven and physics-based methods to expand design space across chiral spaces.

DOI 10.1101/2025.11.21.689740

proteomicsstatistical model

𝕏 PostBluesky

BiochemistryProteins Structure Function and BioinformaticsPeer-reviewedOct 16, 2025

Predicting pose distribution of protein domains connected by flexible linkers is an unsolved problem

Allen C. McBride, Feng Yu, Edward H. Cheng…·Bruce Randall Donald

The paper evaluates computational methods for predicting interdomain pose distributions in D-L-D proteins using NMR and SAXS data, finding none accurately match experimental results.

14 citationstop 4%

statistical modelbenchmarking

𝕏 PostBluesky