High-throughput portable software for fragment-based drug design

用于基于片段的药物设计的高通量便携式软件

• 批准号: 8124328
• 负责人: SANDOR VAJDA
• 金额: $ 9.81万
• 依托单位: ACPHARIS, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-20 至 2013-05-19
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8124328
• 关键词: 15 year old; 2-cyclopentyl-5-(5-isoquinolylsulfonyl)-6-nitro-1H-benzo(D)imidazole; Accounting; Affinity; Algorithms; Atlases; Binding; Boston; Chemicals; Collection; Computer Simulation; Computer software; Computers; Computing Methodologies; Crystallography; Development; Docking; Drug Design; Elements; Goals; Hot Spot; Individual; Lead; Libraries; Ligands; Maps; Methods; Molecular; Molecular Conformation; Molecular Probes; Motion; Motivation; Nuclear Magnetic Resonance; Pharmaceutical Preparations; Preparation; Price; Probability; Protein Fragment; Proteins; Research; Screening procedure; Side; Site; Software Design; Staging; Structure; Therapeutic; Universities; Vertebral column; X-Ray Crystallography; base; combinatorial; conformer; cost; design; flexibility; functional group; inhibitor/antagonist; innovation; interest; pharmacophore; preference; programs; protein protein interaction; protein structure; research study; scaffold; small molecule; software development; success; tool; user-friendly; virtual

DESCRIPTION (provided by applicant): Fragment-based drug design (FBDD) is a combinatorial approach in which individual fragments binding to regions of the target site are selected from a fragment library, and then combined to form potential lead compounds. Interest in this approach has significantly increased during the last few years, with many companies using FBDD methods based on X-ray crystallography or NMR. Although computational methods can potentially reduce the price of FBDD by selecting appropriate targets as well as fragments with increased probability of success, all methods that that explore the binding of fragment-sized ligands to proteins are at least 15 years old, and hence do not account for the recent progress. The Vajda lab at Boston University has been developing methods for the mapping of proteins and has recently released the efficient and highly accurate mapping program FTMAP. The method moves molecular probes - small organic molecules containing various functional groups - around the protein to find binding hot spots with preference for specific functional groups. The goals of this proposal are (1) developing FTMAP into an effective and portable FBDD software product called Atlas, and (2) in a second stage of development, adding computational steps to Atlas for the design of inhibitors that target protein-protein interactions. The programs from the Vajda group to be included in Atlas are the FTMAP mapping program, a program developed for generating alternative side chain conformers, a program for iterative mapping to identify functional groups that preferentially bind to a target site, and the protein-protein docking program PIPER. Acpharis will develop five additional programs that (1) perform virtual screening using generalized pharmacophores based on the mapping results; (2) effectively communicate the results to medicinal chemists for the design of larger compounds from the fragment hits identified; (4) implement an innovative fragment based algorithm for ranking homologous compounds in order to optimize R-groups for a given scaffold; (4) prepare protein structures for mapping, and (5) construct extended and target-specific probe libraries, including the parameterization of the molecules. All elements will be combined into a powerful FBDD software package called Atlas which will be implemented both on multi- core processors and as a cloud-computing based virtual machine built on Amazon's Elastic Compute Cloud. The use of Atlas will reduce the number of X-ray crystallography or NMR based screening experiments required for FBDD, and hence will substantially reduce the costs associated with this approach, an important consideration for small companies and academic labs. PUBLIC HEALTH RELEVANCE: Fragment-based drug design (FBDD) is a combinatorial approach in which individual fragments binding to regions of a target site are selected from a fragment library, and then combined to form potential lead compounds. The general goal of this proposal is to develop portable FBDD software product called ATLAS that, at least in the early stages of the design, can provide a viable alternative to the expensive fragment screening by Nuclear Magnetic Resonance or X-ray crystallography.

说明书(申请人提供)：基于片段的药物设计(FBDD)是一种组合方法，在该方法中，从片段库中选择与靶部位区域结合的单个片段，然后将其组合形成潜在的先导化合物。在过去的几年里，人们对这种方法的兴趣显著增加，许多公司使用基于X射线结晶学或核磁共振的FBDD方法。虽然计算方法可以通过选择适当的靶标和片段来降低FBDD的价格，并增加成功的可能性，但所有探索片段大小的配体与蛋白质结合的方法都至少有15年的历史，因此不能解释最近的进展。波士顿大学的Vajda实验室一直在开发蛋白质图谱的方法，最近发布了高效、高精度的图谱程序FTMAP。该方法在蛋白质周围移动分子探针--包含各种功能基团的小有机分子--以找到偏爱特定官能团的结合热点。这项提议的目标是(1)将FTMAP开发成一种名为Atlas的有效和可移植的FBDD软件产品，以及(2)在开发的第二阶段，为Atlas增加计算步骤，以设计针对蛋白质-蛋白质相互作用的抑制剂。将包括在Atlas中的来自Vajda组的程序是FTMAP作图程序、为产生替代侧链构象而开发的程序、用于迭代作图以确定优先与靶部位结合的官能团的程序以及蛋白质-蛋白质对接程序Piper。Acpharis将开发另外五个程序，这五个程序用于(1)根据图谱结果使用通用药效基团执行虚拟筛选；(2)有效地将结果传达给药物化学家，以根据确定的片段命中设计更大的化合物；(4)实施基于片段的创新算法来对同源化合物进行排序，以优化给定支架的R-基团；(4)为图谱准备蛋白质结构，以及(5)构建扩展的和靶向特异的探针库，包括分子的参数化。所有元素都将被合并到一个名为Atlas的强大的FBDD软件包中，该软件包将在多核处理器上实现，并作为基于云计算的虚拟机构建在亚马逊的弹性计算云上。Atlas的使用将减少FBDD所需的X射线结晶学或核磁共振筛选实验的数量，因此将大大降低与这种方法相关的成本，这是小公司和学术实验室的一个重要考虑因素。 公共卫生相关性：基于片段的药物设计(FBDD)是一种组合方法，在这种方法中，从片段库中选择与目标位置区域结合的单个片段，然后将其组合形成潜在的先导化合物。这项提议的总体目标是开发名为ATLAS的便携式FBDD软件产品，至少在设计的早期阶段，可以提供一种可行的替代方案，以取代昂贵的核磁共振或X射线结晶学筛查碎片。