Literature DB >> 10729819

Using bioinformatics in gene and drug discovery.

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Abstract

Bioinformatics has, out of necessity, become a key aspect of drug discovery in the genomic revolution, contributing to both target discovery and target validation. The author describes the role that bioinformatics has played and will continue to play in response to the waves of genome-wide data sources that have become available to the industry, including expressed sequence tags, microbial genome sequences, model organism sequences, polymorphisms, gene expression data and proteomics. However, these knowledge sources must be intelligently integrated.

Year:  2000        PMID: 10729819     DOI: 10.1016/s1359-6446(99)01457-9

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  6 in total

1.  rSNP_Guide, a database system for analysis of transcription factor binding to target sequences: application to SNPs and site-directed mutations.

Authors:  J V Ponomarenko; T I Merkulova; G V Vasiliev; Z B Levashova; G V Orlova; S V Lavryushev; O N Fokin; M P Ponomarenko; A S Frolov; A Sarai
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Expression profiling of human tumors: the end of surgical pathology?

Authors:  M Ladanyi; W C Chan; T J Triche; W L Gerald
Journal:  J Mol Diagn       Date:  2001-08       Impact factor: 5.568

Review 3.  Bioinformatics and cancer: an essential alliance.

Authors:  Joaquín Dopazo
Journal:  Clin Transl Oncol       Date:  2006-06       Impact factor: 3.405

Review 4.  Using genetic findings in autism for the development of new pharmaceutical compounds.

Authors:  Jacob A S Vorstman; Will Spooren; Antonio M Persico; David A Collier; Stefan Aigner; Ravi Jagasia; Jeffrey C Glennon; Jan K Buitelaar
Journal:  Psychopharmacology (Berl)       Date:  2013-11-30       Impact factor: 4.530

5.  Design of Anti-Angiogenic Peptidomimetics and Evaluation their Biological Activity by In Vitro Assays.

Authors:  Mona Ghadam; Soroush Sardari; Mohammad Ali Shokrgozar; Mahdiyeh Sadat Mahdavi
Journal:  Avicenna J Med Biotechnol       Date:  2020 Apr-Jun

6.  Applying Support Vector Machines for Gene Ontology based gene function prediction.

Authors:  Arunachalam Vinayagam; Rainer König; Jutta Moormann; Falk Schubert; Roland Eils; Karl-Heinz Glatting; Sándor Suhai
Journal:  BMC Bioinformatics       Date:  2004-08-26       Impact factor: 3.169

  6 in total

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