arrow
返回

KLIFS: a structural kinase-ligand interaction database

delete2015-10-22
delete167
delete
OA
AI
A
Albert J. Kooistra
G
Georgi K. Kanev
O
Oscar P. J. van Linden
R
Rob Leurs
I
Iwan J. P. de Esch
C
Chris de Graaf *
DOI:10.1093/nar/gkv1082delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
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) alpha C-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.vucompmedchem.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.
Keyword:
PROTEIN DATA-BANK
INTERACTION FINGERPRINTS
DRUG DISCOVERY
INHIBITORS
GENERATION
MOLECULES
FRAGMENT
TYROSINE
TARGETS
KINOME
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

V
Vrije Universiteit Amsterdam
学者数:
4.2W
论文数: 3.7W
被引数: 3.7W
引用论文

引用论文

Evaluating and classifying POM journals
err1998-06-11
err0
PREAI
errChon‐Huat Goh; Clyde W. Holsapple; Linda Ellis Johnson; John R. Tanner
err分享
err收藏
KLIFS: A Knowledge-Based Structural Database To Navigate Kinase-Ligand Interaction Space
err2013-09-20
err252
PREAI
errvan Linden, Oscar P. J.; Kooistra, Albert J.; Leurs, Rob; de Esch, Lwan J. P.; de Graaf, Chris
err分享
err收藏
Localization of fibronectin on the surface of human spermatozoa and relation to the sperm-egg interaction
err1994-03-01
err0
PREAI
errKazuhiko Hoshi; Hiroko Sasaki; Kaoru Yanagida; Akira Sato; Akira Tsuiki
err分享
err收藏
Small and colorful stones make beautiful mosaics: fragment-based chemogenomics
err2013-04-01
err26
PREAI
errde Graaf, Chris; Vischer, Henry F.; de Kloe, Gerdien E.; Kooistra, Albert J.; Nijmeijer, Saskia; Kuijer, Martien; Verheij, Mark H. P.; England, Paul J.; van Muijlwijk-Koezen, Jacqueline E.; Leurs, Rob; de Esch, Iwan J. P.
err分享
err收藏
Analyzing Multitarget Activity Landscapes Using Protein-Ligand Interaction Fingerprints: Interaction Cliffs
err2015-02-06
err22
errOAAI
errMendez-Lucio, Oscar; Kooistra, Albert J.; de Graaf, Chris; Bender, Andreas; Medina-Franco, Jose L.
err分享
err收藏
GGHLite: More Efficient Multilinear Maps from Ideal Lattices
err2014-01-01
err0
errOAAI
errAdeline Langlois; Damien Stehlé; Ron Steinfeld
err分享
err收藏
Current Compound Coverage of the Kinome
err2014-07-30
err73
PREAI
errHu, Ye; Furtmann, Norbert; Bajorath, Juergen
err分享
err收藏
学者 查看更多内容