Author

T. F. Guclu

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Biology Disciplines

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Biophysics· 2

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

A. R. Atilgan· 2 shared C. Atilgan· 2 shared N. Kocatug· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBiophysics

A. R. Atilgan

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2 papers

Recent·Most cited

BiophysicsbioRxivDec 30, 2020

Dynamic Community Composition Unravels Allosteric Communication in PDZ3

T. F. Guclu, A. R. Atilgan, C. Atilgan

The paper uses community composition analysis from molecular dynamics simulations to study how point mutants and ligands affect PDZ3's binding dynamics and selectivity.

DOI 10.1021/acs.jpcb.0c11604

structural biologydeep learning

𝕏 PostBluesky

BiophysicsbioRxivAug 24, 2020

N-terminus of the third PDZ Domain of PSD-95 Orchestrates Allosteric Communication for Selective Ligand Binding

T. F. Guclu, N. Kocatug, A. R. Atilgan, C. ATILGAN

This study investigates how mutations in the N-terminus of PDZ3 affect ligand binding selectivity through molecular dynamics simulations and free energy calculations.

DOI 10.1021/acs.jcim.0c01079

mechanistic / dynamical modelprotein folding & dynamics

𝕏 PostBluesky