Kooistra Albert J, Kanev Georgi K, van Linden Oscar P J, Leurs Rob, de Esch Iwan J P, de Graaf Chris
Division of Medicinal Chemistry, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands.
Division of Medicinal Chemistry, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
Nucleic Acids Res. 2016 Jan 4;44(D1):D365-71. doi: 10.1093/nar/gkv1082. Epub 2015 Oct 22.
Protein kinases play a crucial role in cell signaling and are important drug targets in several therapeutic areas. The KLIFS database contains detailed structural kinase-ligand interaction information derived from all (>2900) structures of catalytic domains of human and mouse protein kinases deposited in the Protein Data Bank in order to provide insights into the structural determinants of kinase-ligand binding and selectivity. The kinase structures have been processed in a consistent manner by systematically analyzing the structural features and molecular interaction fingerprints (IFPs) of a predefined set of 85 binding site residues with bound ligands. KLIFS has been completely rebuilt and extended (>65% more structures) since its first release as a data set, including: novel automated annotation methods for (i) the assessment of ligand-targeted subpockets and the analysis of (ii) DFG and (iii) αC-helix conformations; improved and automated protocols for (iv) the generation of sequence/structure alignments, (v) the curation of ligand atom and bond typing for accurate IFP analysis and (vi) weekly database updates. KLIFS is now accessible via a website (http://klifs.vu-compmedchem.nl) that provides a comprehensive visual presentation of different types of chemical, biological and structural chemogenomics data, and allows the user to easily access, compare, search and download the data.
蛋白激酶在细胞信号传导中起着关键作用,并且是多个治疗领域中的重要药物靶点。KLIFS数据库包含从存于蛋白质数据库中的人类和小鼠蛋白激酶催化结构域的所有(>2900个)结构中得出的详细结构激酶-配体相互作用信息,以便深入了解激酶-配体结合和选择性的结构决定因素。通过系统分析一组预定义的85个结合位点残基与结合配体的结构特征和分子相互作用指纹(IFP),以一致的方式处理激酶结构。自首次作为数据集发布以来,KLIFS已被完全重建和扩展(结构增加>65%),包括:用于(i)评估配体靶向亚口袋以及分析(ii)DFG和(iii)αC-螺旋构象的新型自动注释方法;用于(iv)生成序列/结构比对、(v)为准确的IFP分析整理配体原子和键类型以及(vi)每周数据库更新的改进和自动化协议。现在可通过网站(http://klifs.vu-compmedchem.nl)访问KLIFS,该网站提供不同类型的化学、生物学和结构化学基因组学数据的全面可视化展示,并允许用户轻松访问、比较、搜索和下载数据。