Web-based Tools for Protein Classification
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Current proteomics technologies generate large number of data among which the investigator has to identify the promising diagnostic/prognostic
biomarkers as well as potential therapeutic targets. For the latter, classification of proteins into meaningful families is
needed. Current databases, featuring a high level of interconnectivity (cross referencing), provide the tools necessary to
bring various data together, facilitating protein classification and elucidation of protein function and interoperativity.
This chapter provides guidelines to explore the informationally rich peptide sequences generated by the application of the
proteomics methodologies by the use of web-based tools, with the objective to predict potential protein function. After proper
preprocessing (e.g., for internal repeats) of a query protein sequence, known domains can be identified, which aid in dividing
the query into smaller meaningful parts. Any unclassified remainder of the protein provides the material for low-level comparative
analysis for the discovery of distant homologues or candidate novel domain types to be verified experimentally.
Affiliation(s): (3) Biomedical Research Foundation, Academy of Athens, Athens, Greece
(4) Biomedical Research Foundation, Academy of Athens, Athens, Greece
(5) Division of Biotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
(4) Biomedical Research Foundation, Academy of Athens, Athens, Greece
(5) Division of Biotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
Book Title: Clinical Proteomics: Methods and Protocols
Series: Methods in Molecular Biology | Volume: 428 | Pub. Date: Mar-01-2008 | Page Range: 349-367 | DOI: 10.1007/978-1-59745-117-8_18
Subject: Biochemistry
Key Words: protein classification - domain families - recurrent tertiary structural motifs - sequence–structure relationships - (protein) structural evolution - protein database - homology searches - domain inference - protein structure redundancy
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