Author

M. M. Sultan

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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Biophysics· 4

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Approach:statistical model· 3 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1

Frequent Co-Authors

V. Pande· 2 shared V. S. Pande· 2 shared B. E. Husic· 1 shared C. R. Schwantes· 1 shared C. X. Hernandez· 1 shared F. Lovering· 1 shared G. Kiss· 1 shared K. A. Beauchamp· 1 shared

Activity by Year

2016-2017 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBiophysics

V. Pande

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Author profile →

4 papers

Recent·Most cited

Towards simple kinetic models of functional dynamics for a kinase subfamily

M. M. Sultan, G. Kiss, V. Pande

The paper presents molecular dynamics simulations and a sequence invariant Markov state model to analyze the structural dynamics of seven Src family kinases, identifying druggable intermediate states.

bioRxiv · Dec 3, 2017Biophysics

Transfer Learning from Markov models leads to efficient sampling of related systems

M. M. Sultan, V. Pande

The paper applies transfer learning from Markov models to improve sampling efficiency in related molecular systems by reusing slow modes and structural information from wild-type simulations.

bioRxiv · Sep 21, 2017Biophysics

Millisecond Dynamics Of BTK Reveal Kinome-Wide Conformational Plasticity Within The Apo Kinase Domain

M. M. Sultan, R. A. Denny, R. Unwalla, F. Lovering, V. S. Pande

This study uses molecular dynamics and Markov state models to analyze BTK's conformational dynamics, revealing new druggable states and the role of protonation in modulating its activity.

bioRxiv · May 9, 2017Biophysics

MSMBuilder: Statistical Models for Biomolecular Dynamics

M. P. Harrigan, M. M. Sultan, C. X. Hernandez, B. E. Husic, P. Eastman, C. R. Schwantes, K. A. Beauchamp, R. T. McGibbon, V. S. Pande

MSMBuilder is a software package for building statistical models of high-dimensional time-series data, particularly for biomolecular dynamics, using methods like Markov State Models and HMMs.

bioRxiv · Oct 30, 2016Biophysics