Search Results - "Sultan, Mohammad M"

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  1. 1

    tICA-Metadynamics: Accelerating Metadynamics by Using Kinetically Selected Collective Variables by M. Sultan, Mohammad, Pande, Vijay S

    Published in Journal of chemical theory and computation (13-06-2017)
    “…Metadynamics is a powerful enhanced molecular dynamics sampling method that accelerates simulations by adding history-dependent multidimensional Gaussians…”
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    Journal Article
  2. 2

    MSMBuilder: Statistical Models for Biomolecular Dynamics by Harrigan, Matthew P., Sultan, Mohammad M., Hernández, Carlos X., Husic, Brooke E., Eastman, Peter, Schwantes, Christian R., Beauchamp, Kyle A., McGibbon, Robert T., Pande, Vijay S.

    Published in Biophysical journal (10-01-2017)
    “…MSMBuilder is a software package for building statistical models of high-dimensional time-series data. It is designed with a particular focus on the analysis…”
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    Journal Article
  3. 3

    Towards simple kinetic models of functional dynamics for a kinase subfamily by Sultan, Mohammad M., Kiss, Gert, Pande, Vijay S.

    Published in Nature chemistry (01-09-2018)
    “…Kinases are ubiquitous enzymes involved in the regulation of critical cellular pathways. However, in silico modelling of the conformational ensembles of these…”
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    Journal Article
  4. 4

    Transferable Neural Networks for Enhanced Sampling of Protein Dynamics by Sultan, Mohammad M, Wayment-Steele, Hannah K, Pande, Vijay S

    Published in Journal of chemical theory and computation (10-04-2018)
    “…Variational autoencoder frameworks have demonstrated success in reducing complex nonlinear dynamics in molecular simulation to a single nonlinear embedding. In…”
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    Journal Article
  5. 5

    Optimized parameter selection reveals trends in Markov state models for protein folding by Husic, Brooke E, McGibbon, Robert T, Sultan, Mohammad M, Pande, Vijay S

    Published in The Journal of chemical physics (21-11-2016)
    “…As molecular dynamics simulations access increasingly longer time scales, complementary advances in the analysis of biomolecular time-series data are…”
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    Journal Article
  6. 6

    Allosteric pathways in imidazole glycerol phosphate synthase by Rivalta, Ivan, Sultan, Mohammad M, Lee, Ning-Shiuan, Manley, Gregory A, Loria, J. Patrick, Batista, Victor S

    “…Protein allosteric pathways are investigated in the imidazole glycerol phosphate synthase heterodimer in an effort to elucidate how the effector (PRFAR,…”
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    Journal Article
  7. 7

    Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain by Sultan, Mohammad M., Denny, Rajiah Aldrin, Unwalla, Ray, Lovering, Frank, Pande, Vijay S.

    Published in Scientific reports (15-11-2017)
    “…Bruton tyrosine kinase (BTK) is a key enzyme in B-cell development whose improper regulation causes severe immunodeficiency diseases. Design of selective BTK…”
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    Journal Article
  8. 8

    Automatic Selection of Order Parameters in the Analysis of Large Scale Molecular Dynamics Simulations by Sultan, Mohammad M, Kiss, Gert, Shukla, Diwakar, Pande, Vijay S

    Published in Journal of chemical theory and computation (09-12-2014)
    “…Given the large number of crystal structures and NMR ensembles that have been solved to date, classical molecular dynamics (MD) simulations have become…”
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    Journal Article
  9. 9

    Electrostatic Effects on Proton Coupled Electron Transfer in Oxomanganese Complexes Inspired by the Oxygen-Evolving Complex of Photosystem II by Amin, Muhamed, Vogt, Leslie, Vassiliev, Serguei, Rivalta, Ivan, Sultan, Mohammad M, Bruce, Doug, Brudvig, Gary W, Batista, Victor S, Gunner, M. R

    Published in The journal of physical chemistry. B (23-05-2013)
    “…The influence of electrostatic interactions on the free energy of proton coupled electron transfer in biomimetic oxomanganese complexes inspired by the…”
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    Journal Article
  10. 10

    Compositional Deep Probabilistic Models of DNA-Encoded Libraries by Chen, Benson, Sultan, Mohammad M., Karaletsos, Theofanis

    “…DNA-encoded library (DEL) has proven to be a powerful tool that utilizes combinatorially constructed small molecules to facilitate highly efficient screening…”
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    Journal Article
  11. 11

    DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries by Shmilovich, Kirill, Chen, Benson, Karaletsos, Theofanis, Sultan, Mohammad M.

    “…DNA-encoded library (DEL) technology has enabled significant advances in hit identification by enabling efficient testing of combinatorially generated…”
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    Journal Article
  12. 12

    Transfer Learning from Markov Models Leads to Efficient Sampling of Related Systems by Sultan, Mohammad M, Pande, Vijay S

    Published in The journal of physical chemistry. B (31-05-2018)
    “…We recently showed that the time-structure-based independent component analysis method from Markov state model literature provided a set of variationally…”
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    Journal Article
  13. 13

    A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained Models by Husic, Brooke E, McKiernan, Keri A, Wayment-Steele, Hannah K, Sultan, Mohammad M, Pande, Vijay S

    Published in Journal of chemical theory and computation (13-02-2018)
    “…Markov state models (MSMs) are a powerful framework for the analysis of molecular dynamics data sets, such as protein folding simulations, because of their…”
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    Journal Article
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    Allosteric inhibition of individual enzyme molecules trapped in lipid vesicles by Piwonski, Hubert M, Goomanovsky, Mila, Bensimon, David, Horovitz, Amnon, Haran, Gilad

    “…Enzymatic inhibition by product molecules is an important and widespread phenomenon. We describe an approach to study product inhibition at the single-molecule…”
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    Journal Article
  20. 20

    Optimize an MRI Gauss Gun by Sultan, Mohammad M

    Published 01-01-2017
    “…MRI-based navigation and propulsion of millirobots is a new and promising approach for minimally invasive therapies. The strong constant magnetic field inside…”
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    Dissertation