Literature DB >> 11752292

ASPD (Artificially Selected Proteins/Peptides Database): a database of proteins and peptides evolved in vitro.

Vadim P Valuev1, Dmitry A Afonnikov, Mikhail P Ponomarenko, Luciano Milanesi, Nikolay A Kolchanov.   

Abstract

ASPD is a new curated database that incorporates data on full-length proteins, protein domains and peptides that were obtained through in vitro directed evolution processes (mainly by means of phage display). At present, the ASPD database contains data on 195 selection experiments, which were described in 112 original papers. For each experiment, the following information is given: (i) description of the target for binding, (ii) description of the protein or peptide which serves as the template for library construction and description of the native protein which binds the target, (iii) links to the major proteomic databases (SWISS-PROT, PDB, PROSITE and ENZYME), (iv) keywords referring to the biological significance of the experiment, (v) aligned sequences of proteins or peptides retrieved through in vitro evolution and relevant native or constructed sequences, (vi) the number of rounds of selection/amplification and (vii) the number of occurrences of clones with each sequence. The literature data include a full reference, a link to the MEDLINE database and the name of the corresponding author with his email address. ASPD has a user-friendly interface which allows for simple queries using the names of proteins and ligands, as well as keywords describing the biological role of the interaction studied, and also for queries based on authors' names. It is also possible to access the database by means of the SRS system, allowing complex queries. There is a BLAST search tool against the ASPD for looking directly for homologous sequences. Research tools of the ASPD allow the analysis of pairwise correlations in the sequences of proteins and peptides selected against one target. The URL for the ASPD database is http://www.sgi.sscc.ru/mgs/gnw/aspd/.

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Year:  2002        PMID: 11752292      PMCID: PMC99101          DOI: 10.1093/nar/30.1.200

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  14 in total

Review 1.  In vitro selection of nucleic acids and proteins: What are we learning?

Authors:  R W Roberts; W W Ja
Journal:  Curr Opin Struct Biol       Date:  1999-08       Impact factor: 6.809

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  The ENZYME database in 2000.

Authors:  A Bairoch
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

4.  Detection of conserved physico-chemical characteristics of proteins by analyzing clusters of positions with co-ordinated substitutions.

Authors:  D A Afonnikov; D Y Oshchepkov; N A Kolchanov
Journal:  Bioinformatics       Date:  2001-11       Impact factor: 6.937

5.  Amino acid substitution matrices from protein blocks.

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6.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

7.  The characterization of amino acid sequences in proteins by statistical methods.

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Journal:  Comput Appl Biosci       Date:  1993-02

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Journal:  J Mol Biol       Date:  1984-10-15       Impact factor: 5.469

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  11 in total

1.  SiteLight: binding-site prediction using phage display libraries.

Authors:  Inbal Halperin; Haim Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2003-07       Impact factor: 6.725

2.  MimoDB 2.0: a mimotope database and beyond.

Authors:  Jian Huang; Beibei Ru; Ping Zhu; Fulei Nie; Jun Yang; Xuyang Wang; Ping Dai; Hao Lin; Feng-Biao Guo; Nini Rao
Journal:  Nucleic Acids Res       Date:  2011-11-03       Impact factor: 16.971

3.  PepBank--a database of peptides based on sequence text mining and public peptide data sources.

Authors:  Timur Shtatland; Daniel Guettler; Misha Kossodo; Misha Pivovarov; Ralph Weissleder
Journal:  BMC Bioinformatics       Date:  2007-08-01       Impact factor: 3.169

4.  MimoDB: a new repository for mimotope data derived from phage display technology.

Authors:  Beibei Ru; Jian Huang; Ping Dai; Shiyong Li; Zhongkui Xia; Hui Ding; Hao Lin; Fengbiao Guo; Xianlong Wang
Journal:  Molecules       Date:  2010-11-15       Impact factor: 4.411

Review 5.  Bioinformatics resources and tools for phage display.

Authors:  Jian Huang; Beibei Ru; Ping Dai
Journal:  Molecules       Date:  2011-01-18       Impact factor: 4.411

6.  Biopanning data bank 2018: hugging next generation phage display.

Authors:  Bifang He; Lixu Jiang; Yaocong Duan; Guoshi Chai; Yewei Fang; Juanjuan Kang; Min Yu; Ning Li; Zhongjie Tang; Pengcheng Yao; Pengcheng Wu; Ratmir Derda; Jian Huang
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

7.  Virtual interactomics of proteins from biochemical standpoint.

Authors:  Jaroslav Kubrycht; Karel Sigler; Pavel Souček
Journal:  Mol Biol Int       Date:  2012-08-08

Review 8.  Bioinformatics resources and tools for conformational B-cell epitope prediction.

Authors:  Pingping Sun; Haixu Ju; Zhenbang Liu; Qiao Ning; Jian Zhang; Xiaowei Zhao; Yanxin Huang; Zhiqiang Ma; Yuxin Li
Journal:  Comput Math Methods Med       Date:  2013-07-21       Impact factor: 2.238

9.  PepBind: a comprehensive database and computational tool for analysis of protein-peptide interactions.

Authors:  Arindam Atanu Das; Om Prakash Sharma; Muthuvel Suresh Kumar; Ramadas Krishna; Premendu P Mathur
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-07-26       Impact factor: 7.691

10.  BDB: biopanning data bank.

Authors:  Bifang He; Guoshi Chai; Yaocong Duan; Zhiqiang Yan; Liuyang Qiu; Huixiong Zhang; Zechun Liu; Qiang He; Ke Han; Beibei Ru; Feng-Biao Guo; Hui Ding; Hao Lin; Xianlong Wang; Nini Rao; Peng Zhou; Jian Huang
Journal:  Nucleic Acids Res       Date:  2015-10-25       Impact factor: 16.971

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