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Mobley Lab, UCI

Free energy methods for pharmaceutical drug discovery

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Papers, Our science

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

Caitlin C. Bannan, David L. Mobley, A. Geoffrey Skillman

A variety of fields would benefit from accurate pKa predictions, especially drug design due to the affect a change in ionization state can have on a molecules physiochemical properties. Participants in the recent SAMPL6 blind challenge were asked to submit predictions for microscopic and macroscopic pKas of 24 drug like small molecules. 
[More…]

Posted: June 6, 2018 · Tags: machine learning, pKa

Our science, Talks and posters

Machine learning and pKa prediction in SAMPL6

Check out these slides on Caitlin Bannan’s SAMPL6 blind challenge entry on pKa prediction! She spent her summer doing an internship at OpenEye building a machine learning model for pKa prediction, and entered it in the recent SAMPL6 blind prediction challenge. She just spoke today at the OpenEye CUP meeting in Santa Fe on the results, and these are her slides. [More…]

Posted: March 7, 2018 · Tags: SAMPL, SAMPL6, pKa

News

Plans are coming together for the SAMPL6 challenge

Plans are starting to shape up for the SAMPL6 blind prediction challenge, coming later this year! (Our overall SAMPL initiative is still unfunded and we need your input, but we are able to proceed with SAMPL6).

SAMPL6 will focus on host-guest binding on some familiar systems, as well as logD prediction with known (provided) pKa values for a series of small organic compounds. [More…]

Posted: May 17, 2017 · Tags: Alchemistry, Benchmarks, Host-Guest Binding, LogD, LogP, SAMPL, pKa

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...]

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

David Mobley, Caitlin C. Bannan, Andrea Rizzi, … [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:

  • A reoptimization of the five-site water potential (TIP5P) for use with Ewald sums November 25, 2020
  • Characterization of the TIP4P-Ew water model: Vapor pressure and boiling point November 25, 2020
  • Development of an improved four-site water model for biomolecular simulations: TIP4P-Ew November 25, 2020
  • A computational investigation of thermodynamics, structure, dynamics and solvation behavior in modif November 25, 2020
  • The missing term in effective pair potentials November 25, 2020

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Contact

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

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