Author

Max Staples

Pacific Lutheran University

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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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Dong SiiD· 2 shared Renzhi CaoiD· 2 shared Connor Whyte· 1 shared Kasey Johnson· 1 shared Leong ChaniD· 1 shared Matthew Conover· 1 shared Miao SuniD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Dong SiORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Technology & Engineering Management Conference (TEMSCON)Peer-reviewedJun 1, 2019

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

Max Staples, Leong Chan, Dong Si…·Renzhi Cao

This paper explores AI methods, including reinforcement learning, for protein structure prediction and discusses their implications for bioinformatics and biotechnology.

10 citationstop 3%

protein structuremachine learning (classical)

𝕏 PostBluesky

BioinformaticsComputational and Mathematical BiophysicsPeer-reviewedJan 1, 2019

AngularQA: Protein Model Quality Assessment with LSTM Networks

Matthew Conover, Max Staples, Dong Si…·Renzhi Cao

The paper introduces AngularQA, an LSTM-based method for protein model quality assessment using a novel representation of atom information, achieving a correlation of 0.651 on CASP12.

40 citations

protein structuredeep learning

𝕏 PostBluesky