Author

M. I. Muniyat

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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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

J. MacCallum· 2 shared K. Gaalswyk· 2 shared

Activity by Year

2017-2018 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBiochemistry

J. MacCallum

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2 papers

Recent·Most cited

BiochemistryCurrent Opinion in Structural BiologyPeer-reviewedApr 1, 2018

The emerging role of physical modeling in the future of structure determination

K. Gaalswyk, M. I. Muniyat, J. MacCallum

This paper reviews the role of quantitative physical modeling in structure determination, highlighting its importance in handling sparse and noisy data and modeling conformational ensembles.

DOI 10.1016/j.sbi.2018.03.005

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivDec 3, 2017

On-line Optimization of Hamiltonian Replica Exchange Simulations

J. MacCallum, K. Gaalswyk, M. I. Muniyat

This paper introduces an algorithm for on-line optimization of Hamiltonian replica exchange simulations using techniques from deep learning, showing effectiveness on protein folding simulations.

DOI 10.1021/acs.jpcb.7b11778

deep learning

𝕏 PostBluesky