Author

J. M. C. Teixeira

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Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

J. D. Forman-Kay· 2 shared J. Li· 2 shared O. Zhang· 2 shared T. Head-Gordon· 2 shared Z. H. Liu· 2 shared A. A. Shamandy· 1 shared A. Namini· 1 shared C. C. Gradinaru· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBiophysics

J. D. Forman-Kay

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2 papers

Recent·Most cited

BiophysicsbioRxivJul 25, 2023

Local Disordered Region Sampling (LDRS) for Ensemble Modeling of Proteins with Experimentally Undetermined or Low Confidence Prediction Segments

Z. H. Liu, J. M. C. Teixeira, O. Zhang…·J. D. Forman-Kay

The paper introduces LDRS, a tool for generating conformational ensembles of intrinsically disordered regions in proteins, improving structural modeling of flexible segments.

DOI 10.1093/bioinformatics/btad739

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivMay 28, 2022

IDPConformerGenerator: A Flexible Software Suite for Sampling Conformational Space of Disordered Protein States

J. M. C. Teixeira, Z. H. Liu, A. Namini…·J. D. Forman-Kay

IDPConformerGenerator generates diverse ensembles of disordered protein states using physical restraints and machine learning, enabling structural analysis of intrinsically disordered proteins.

DOI 10.1021/acs.jpca.2c03726

protein structuremachine learning (classical)

𝕏 PostBluesky