Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides

被引：105

作者：

Gautam, Ankur ^{[1
]}

Chaudhary, Kumardeep ^{[1
]}

Singh, Sandeep ^{[1
]}

Joshi, Anshika ^{[1
]}

Anand, Priya ^{[1
]}

Tuknait, Abhishek ^{[1
]}

Mathur, Deepika ^{[1
]}

Varshney, Grish C. ^{[2
]}

Raghava, Gajendra P. S. ^{[1
]}

机构：

[1] CSIR, Inst Microbial Technol, Bioinformat Ctr, Chandigarh 160036, India

[2] CSIR, Inst Microbial Technol, Div Cell Biol & Immunol, Chandigarh 160036, India

来源：

NUCLEIC ACIDS RESEARCH | 2014年 / 42卷 / D1期

关键词：

CELL-PENETRATING PEPTIDES; ANTIMICROBIAL PEPTIDES; THERAPEUTIC PEPTIDES; STRUCTURE PREDICTION; AMINO-ACID; DESIGN; DISSOCIATION; RESOURCE; SERVER;

D O I：

10.1093/nar/gkt1008

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Hemolytik (http://crdd.osdd.net/raghava/hemolytik/) is a manually curated database of experimentally determined hemolytic and non-hemolytic peptides. Data were compiled from a large number of published research articles and various databases like Antimicrobial Peptide Database, Collection of Antimicrobial Peptides, Dragon Antimicrobial Peptide Database and Swiss-Prot. The current release of Hemolytik database contains similar to 3000 entries that include similar to 2000 unique peptides whose hemolytic activities were evaluated on erythrocytes isolated from as many as 17 different sources. Each entry in Hemolytik provides comprehensive information about a peptide, like its name, sequence, origin, reported function, property such as chirality, types (linear and cyclic), end modifications as well as details pertaining to its hemolytic activity. In addition, tertiary structure of each peptide has been predicted, and secondary structure states have been assigned. To facilitate the scientific community, a user-friendly interface has been developed with various tools for data searching and analysis. We hope, Hemolytik will be useful for researchers working in the field of designing therapeutic peptides.

引用

页码：D444 / D449

页数：6

共 33 条

[31] Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
Wang, Ping
Hu, Lele
Liu, Guiyou
Jiang, Nan
Chen, Xiaoyun
Xu, Jianyong
Zheng, Wen
Li, Li
Tan, Ming
Chen, Zugen
Song, Hui
Cai, Yu-Dong
Chou, Kuo-Chen
[J]. PLOS ONE, 2011, 6 (04):
[32] QSAR Modeling and Design of Cationic Antimicrobial Peptides Based on Structural Properties of Amino Acids
Wang, Yuanqiang
Ding, Yuan
Wen, Haixia
Lin, Yong
Hu, Yong
Zhang, Ya
Xia, Qingyou
Lin, Zhihua
[J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2012, 15 (04) : 347 - 353
[33] Quorumpeps database: chemical space, microbial origin and functionality of quorum sensing peptides
Wynendaele, Evelien
Bronselaer, Antoon
Nielandt, Joachim
D'Hondt, Matthias
Stalmans, Sofie
Bracke, Nathalie
Verbeke, Frederick
Van De Wiele, Christophe
De Tre, Guy
De Spiegeleer, Bart
[J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D655 - D659

← 1 2 3 4 →