RCSB Protein Data Bank: improved annotation, search and visualization of membrane protein structures archived in the PDB

被引:50
作者
Bittrich, Sebastian [1 ]
Rose, Yana [1 ]
Segura, Joan [1 ]
Lowe, Robert [2 ,3 ]
Westbrook, John D. [2 ,3 ,4 ]
Duarte, Jose M. [1 ]
Burley, Stephen K. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Univ Calif, San Diego Supercomp Ctr, Res Collaboratory Struct Bioinformat Prot Data Ba, La Jolla, CA 92093 USA
[2] Rutgers State Univ, Res Collaboratory Struct Bioinformat Prot Data Ba, Piscataway, NJ 08854 USA
[3] Rutgers State Univ, Inst Quantitat Biomed, Piscataway, NJ 08854 USA
[4] Rutgers State Univ, Canc Inst New Jersey, New Brunswick, NJ 08901 USA
[5] Rutgers State Univ, Dept Chem & Chem Biol, Piscataway, NJ 08854 USA
基金
美国国家科学基金会;
关键词
TRANSMEMBRANE PROTEINS;
D O I
10.1093/bioinformatics/btab813
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation Membrane proteins are encoded by approximately one fifth of human genes but account for more than half of all US FDA approved drug targets. Thanks to new technological advances, the number of membrane proteins archived in the PDB is growing rapidly. However, automatic identification of membrane proteins or inference of membrane location is not a trivial task. Results We present recent improvements to the RCSB Protein Data Bank web portal (RCSB PDB, rcsb.org) that provide a wealth of new membrane protein annotations integrated from four external resources: OPM, PDBTM, MemProtMD and mpstruc. We have substantially enhanced the presentation of data on membrane proteins. The number of membrane proteins with annotations available on rcsb.org was increased by similar to 80%. Users can search for these annotations, explore corresponding tree hierarchies, display membrane segments at the 1D amino acid sequence level, and visualize the predicted location of the membrane layer in 3D. Availability and implementation Annotations, search, tree data and visualization are available at our rcsb.org web portal. Membrane visualization is supported by the open-source Mol* viewer (molstar.org and github.com/molstar/molstar). Supplementary information are available at Bioinformatics online.
引用
收藏
页码:1452 / 1454
页数:3
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