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Mobley Lab, UCI

Free energy methods for pharmaceutical drug discovery

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Positions

Postdoc position with OpenFF

The Open Force Field Initiative is seeking a talented postdoctoral fellow to work on the development of next-generation molecular mechanics force fields, initially focusing on the development of open source tools for generating QM-derived torsion parameters for small organic molecules. The position is supported by the Open Force Field Consortium, which is administered by the NSF-funded Molecular Sciences Software Institute (MolSSI) and funded by an alliance of pharmaceutical and biotech companies aiming to advance the state of force fields for biomolecular simulation and design through an open collaborative effort. [More…]

Posted: November 12, 2018 · Tags: Open Force Field, PostDoc

News, Positions

Joint Open Force Field Initiative / XtalPi Distinguished Postdoctoral Fellowship

The Open Force Field Consortium (OpenFF, openforcefield.org) and XtalPi, Inc. (xtalpi.com) seeks a Distinguished Postdoctoral Fellow to perform cutting-edge research in a unique academic-industrial joint effort.

OpenFF is an academic collaboration (based at UC Irvine / UC Davis / UC San Diego / Univ. Colorado Boulder / Sloan Kettering Institute in New York) that seeks to develop next-generation molecular mechanics force fields and associated parameterization software and data infrastructure. [More…]

Posted: April 19, 2018 · Tags: Open Force Field, PostDoc

Papers, Our science

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

David Mobley, Caitlin C. Bannan, Andrea Rizzi, Christopher I. Bayly, John D. Chodera, Victoria T Lim, Nathan M. Lim, Kyle A. Beauchamp, Michael R. Shirts, Michael K. Gilson, and Peter K. Eastman

 

 

Here, we focus on testing and improving force fields for molecular modeling, which see widespread use in diverse areas of computational chemistry and biomolecular simulation. [More…]

Posted: March 24, 2018 · Tags: Open Force Field, Software

Research

One major emphasis is binding prediction

A major focus is the binding of small-molecule ligands to proteins. While current computational methods see widespread use in the pharmaceutical industry in drug discovery applications, accuracy is limited and these approaches fall far short of the goal of using computers to suggest new drug candidates. Methods we recently developed and applied have achieved far greater accuracies at computing and even predicting binding affinities than previous methods, so we are working to begin applying these in more complicated and pharmaceutically relevant binding sites. [More…]

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...]

Binding modes of ligands using enhanced sampling (BLUES)

Samuel C. Gill, Nathan M. Lim, Patrick B. … [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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SAMPL PostDoc Benchmarks Binding Papers Alchemistry Open Force Field Grants Undergraduate Graduate

Contact

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

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