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DESCRIPTION (provided by applicant): The overall aim of this project is to develop a novel integrated suite of software applications for predicting, refining and manipulating biomacromolecular structure, particularly with respect to computational virtual screening of drug candidates. Virtual screening of a panel of ligands against a biomacromolecule target requires a highly accurate model for the ligand binding site, as well as rapid and effective estimation of binding affinity. In many important drug discovery projects both of these requirements cannot be met. The two main goals of the proposed research are thus to: 1) improve the accuracy and relability of free energy scoring of putative protein-ligand complexes, and 2) enhance the quality of low-resolution structural models from x-ray, nmr or comparative modeling to make them useful as targets for virtual screening. The core technology for this research plan is based on the HINT (Hydropathic INTeractions) program/paradigm that exports (with reasonable speed and accuracy) both a unique empirical free energy forcefield and threedimensional graphics objects that encode significant structural information. A number of specific software tools will be created by this effort: a) an integrated docking system using HINT forcefield scoring; b) an automated computational titration program that evaluates the ionization state of residues and ligand functional groups to optimize ligand binding; c) a range of methods to predict and/or optimize water molecule locations in environments where water-mediated hydrogen bonding could impact ligand binding; d) a new de novo ligand design protocol based on three-dimensional hydropathy maps; and e) integrated crystallographic and NMR refinement program(s) using the hydropathic forcefield as a target function. This latter tool may be extended as an adjunct to homology modeling approaches to creating target structures, and may prove useful for defining models of inaccessible proteins. Specific collaborative arrangements are in place to apply these tools to a range of current drug discovery problems.
期刊论文(14)
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会议论文
DOI: 10.1016/j.ejmech.2012.03.008
发表时间: 2012-06
期刊: European journal of medicinal chemistry
影响因子: 6.7
作者: [Sarkar A, Anderson KC, Kellogg GE]
通讯作者: Kellogg GE
DOI: 10.3109/14756360902787055
发表时间: 2009-12
期刊: Journal of enzyme inhibition and medicinal chemistry
影响因子: 5.6
作者: [Tripathi A, Durrant D, Lee RM, Baruchello R, Romagnoli R, Simoni D, Kellogg GE]
通讯作者: Kellogg GE
Energy-based prediction of amino acid-nucleotide base recognition.
基于能量的氨基酸-核苷酸碱基识别预测。
DOI: 10.1002/jcc.20954
发表时间: 2008
期刊: Journal of computational chemistry
影响因子: 3
作者: [Marabotti,Anna, Spyrakis,Francesca, Facchiano,Angelo, Cozzini,Pietro, Alberti,Saverio, Kellogg,GlenE, Mozzarelli,Andrea]
通讯作者: Mozzarelli,Andrea
DOI: 10.1021/jm901325e
发表时间: 2010-01-14
期刊: Journal of medicinal chemistry
影响因子: 7.3
作者: [Salsi E, Bayden AS, Spyrakis F, Amadasi A, Campanini B, Bettati S, Dodatko T, Cozzini P, Kellogg GE, Cook PF, Roderick SL, Mozzarelli A]
通讯作者: Mozzarelli A
7
    New Hydropathy-Based computer Tools for Drug Discovery
    • 批准号:
      7211354
    • 项目类别:
    • 资助金额:
      $20.35万
    • 财政年份:
      2005
    • 负责人:
      GLEN EUGENE KELLOGG
    • 依托单位:
    New Hydropathy-Based computer Tools for Drug Discovery
    • 批准号:
      6916119
    • 项目类别:
    • 资助金额:
      $23.79万
    • 财政年份:
      2005
    • 负责人:
      GLEN EUGENE KELLOGG
    • 依托单位:
    New Hydropathy-Based computer Tools for Drug Discovery
    • 批准号:
      7039020
    • 项目类别:
    • 资助金额:
      $20.82万
    • 财政年份:
      2005
    • 负责人:
      GLEN EUGENE KELLOGG
    • 依托单位:
    New Hydropathy-Based computer Tools for Drug Discovery
    • 批准号:
      7391101
    • 项目类别:
    • 资助金额:
      $20.49万
    • 财政年份:
      2005
    • 负责人:
      GLEN EUGENE KELLOGG
    • 依托单位:
    海外基金