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Mobley Lab, UCI

Free energy methods for pharmaceutical drug discovery

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Papers

Binding modes of ligands using enhanced sampling (BLUES)

BLUES enhances samling of ligand binding modes

Samuel C. Gill, Nathan M. Lim, Patrick B. Grinaway, Ariën S. Rustenburg, Josh Fass, Gregory A. Ross, John D. Chodera and David L. Mobley

 

 

Accurately predicting protein-ligand binding affinities and binding modes is a major goal in computational chemistry, but even the prediction of ligand binding modes in proteins poses major challenges. Here, we focus on solving the binding mode prediction problem for rigid fragments.  [More…]

Posted: February 28, 2018 · Tags: Alchemistry, BLUES, Binding, Papers

News, Our science

Binding modes of ligands using enhanced sampling – preprint

We have a new preprint up on our “Binding Modes of Ligands Using Enhanced Sampling” (BLUES) approach to sampling ligand binding modes. This is work with the Chodera lab, and applies the nonequilibrium candidate Monte Carlo technique to hop between different potential ligand binding modes, allowing us to compute the occupancy of ligand binding modes substantially more efficiently than with standard molecular dynamics or Monte Carlo. [More…]

Posted: September 21, 2017 · Tags: BLUES, Binding, Enhanced-sampling, binding modes

Papers

Multiple binding modes of ibuprofen in human serum albumin identified by absolute binding free energy calculations

Stefania Evoli, David L. Mobley, Rita Guzzi and Bruno Rizzuti

Human serum albumin possesses multiple binding sites and transports a wide range of ligands that include the anti-inflammatory drug ibuprofen. A complete map of the binding sites of ibuprofen in albumin is difficult to obtain in traditional experiments, because of the structural adaptability of this protein in accommodating small ligands. In this work, we provide a set of predictions covering the geometry, affinity of binding and protonation state for the pharmaceutically most active form (S-isomer) of ibuprofen to albumin, by using absolute binding free energy calculations in combination with classical molecular dynamics (MD) simulations and molecular docking. [More…]

Posted: November 17, 2016 · Tags: Alchemistry, Binding, Papers

Papers

Predicting binding free energies: Frontiers and benchmarks

David L. Mobley, Michael K. Gilson

lysozyme-benchmarkBinding free energy calculations based on molecular simulations provide predicted affinities for biomolecular complexes. These calculations begin with a detailed description of a system, including its chemical composition and the interactions between its components. Simulations of the system are then used to compute thermodynamic information, such as binding affinities. Because of their promise for guiding molecular design, these calculations have recently begun to see widespread applications in early stage drug discovery. [More…]

Posted: October 22, 2016 · Tags: Benchmarks, Binding, Papers, T4-Lysozyme

Papers

Sensitivity in Binding Free Energies Due to Protein Reorganization

Nathan M. Lim, Lingle Wang, Robert Abel, and David L. Mobley

Tremendous recent improvements in computer hardware, coupled with advances in sampling techniques and force fields, are now allowing protein–ligand binding free energy calculations to be routinely used to aid pharmaceutical drug discovery projects. However, despite these recent innovations, there are still needs for further improvement in sampling algorithms to more adequately sample protein motion relevant to protein–ligand binding. [More…]

Posted: October 21, 2016 · Tags: Binding, Enhanced-sampling, Papers, Protein-ligand, T4-Lysozyme

Categories

  • Papers (12)
  • News (29)
  • Commentary (1)
  • Meetings and workshops (1)
  • Null results (1)
  • Our science (12)
  • Positions (4)
  • Talks and posters (4)

People

  • Dr. David L. Mobley
  • PostDoc
    • Lea El Khoury
    • Sukanya Sasmal
  • Graduate
    • Sam Gill
    • Victoria Lim
    • Kalistyn Burley
    • David Wych
    • Jessica Maat
    • Danielle (Teresa) Bergazin
    • Hannah Baumann
    • Oanh Tran
  • Undergraduate
    • Meghan Osato
    • Jordan Ehrman

Recent Papers

Escaping Atom Types in Force Fields Using Direct Chemical Perception

David L. Mobley , Caitlin C. Bannan , Andrea … [Read More...]

Challenges in the use of atomistic simulations to predict solubilities of drug-like molecules

Guilherme Duarte Ramos Matos, David L. … [Read More...]

SAMPL6 challenge results from pKa predictions based on a general Gaussian process model

Caitlin C. Bannan, David L. Mobley, A. Geoffrey … [Read More...]

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1

David Mobley, Caitlin C. Bannan, Andrea Rizzi, … [Read More...]

Synthesis facilitates an understanding of the structural basis for translation inhibition by the lissoclimides

Z. A. Könst, A. R. Szklarski, S. Pellegrino, S. E. … [Read More...]

RSS What we’re reading:

  • Modeling Local Structural Rearrangements Using FEP/REST: Application to Relative Binding Affinity Pr November 19, 2019
  • The translocation kinetics of antibiotics through porin OmpC: Insights from structure-based solvatio November 19, 2019
  • qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron November 19, 2019
  • A Suite of Tutorials for the WESTPA Rare-Events Sampling Software [Article v1.0] November 19, 2019
  • NMR Characterization of Kinase p38 Dynamics in Free and Ligand-Bound Forms November 19, 2019

Archives

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Contact

David L. Mobley
dmobley@mobleylab.org
phone: 949.385.2436
office: 3134B Nat. Sci. I

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