Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides.
Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides.
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DOI：
10.1093/nar/gkt1008
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发表时间：
2014-01
影响因子：
14.9
通讯作者：
Raghava GP
中科院分区：
文献类型：
--
作者：
Gautam A;Chaudhary K;Singh S;Joshi A;Anand P;Tuknait A;Mathur D;Varshney GC;Raghava GP
Hemolytik（http：//crdd.osdd.net/raghava/hemolytik/）是实验测定的溶血性和非溶血性肽的手动管理数据库。数据来源于大量已发表的研究文章和各种数据库，如Antimicrobial Peptide Database、Collection of Antimicrobial Peptides、Dragon Antimicrobial Peptide Database和Swiss-Prot。当前版本的Hemolytik数据库包含约3000个条目，其中包括约2000种独特的肽，其溶血活性在从多达17个不同来源分离的红细胞上进行了评价。Hemolytik中的每个条目都提供了有关肽的全面信息，如其名称，序列，来源，报告的功能，性质，如手性，类型（线性和环状），末端修饰以及与其溶血活性有关的详细信息。此外，每个肽的三级结构已被预测，并已分配的二级结构状态。为便利科学界，开发了一个方便用户的界面，其中有各种数据搜索和分析工具。我们希望，Hemolytik将有助于设计治疗肽领域的研究人员。
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 Anti-microbial Peptides, Dragon Antimicrobial Peptide Database and Swiss-Prot. The current release of Hemolytik database contains ∼3000 entries that include ∼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.
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影响因子：
4.3
作者：
Sanders WS;Johnston CI;Bridges SM;Burgess SC;Willeford KO
通讯作者：
Willeford KO
影响因子：
14.9
作者：
Seshadri Sundararajan V;Gabere MN;Pretorius A;Adam S;Christoffels A;Lehväslaiho M;Archer JA;Bajic VB
通讯作者：
Bajic VB
影响因子：
3.7
作者：
Stalmans S;Wynendaele E;Bracke N;Gevaert B;D'Hondt M;Peremans K;Burvenich C;De Spiegeleer B
通讯作者：
De Spiegeleer B
影响因子：
4.8
作者：
Kondejewski, LH;Jelokhani-Niaraki, M;Hodges, RS
通讯作者：
Hodges, RS
影响因子：
3.7
作者：
Kapoor P;Singh H;Gautam A;Chaudhary K;Kumar R;Raghava GP
通讯作者：
Raghava GP