Abstract
Proteins play a major role in biochemical and biophysical features of living organisms and the knowledge of their function is crucial in the development of new drugs, agriculture productivity improvement, biofuel production and several industrial products derived biologically. In current annotation approach, functional prediction of unknown proteins such as hypothetical proteins present in various genomes is a challenging task to the biological community. This incomplete genome information causes gaps in the knowledge especially in the area of drug discovery and metabolic engineering. Hence, an integrated genome-scale re-annotation has been evolved, which is the most promising approach to predict the functions of unknown or hypothetical proteins. In this approach, along with BLAST many other tools output will be integrated for better understanding the function of a given protein sequence. In this review, we describe the integrated re-annotation approach methods that will be helpful in systems level study of microorganisms.
Keywords: Hypothetical protein, functional prediction, homology, sequence similarity, motif, folds, systems biology, Genome Projects, Hypothetical, BioCyc Genome Database, JCVI-CMR comprehensive Microbial Resource, PFP tool, LOMETS
Current Bioinformatics
Title: An Integrated Re-Annotation Approach for Functional Predictions of Hypothetical Proteins in Microbial Genomes
Volume: 6 Issue: 4
Author(s): Chinnasamy Perumal Rajadurai, Thankaswamy Kosalai Subazini and Gopal Ramesh Kumar
Affiliation:
Keywords: Hypothetical protein, functional prediction, homology, sequence similarity, motif, folds, systems biology, Genome Projects, Hypothetical, BioCyc Genome Database, JCVI-CMR comprehensive Microbial Resource, PFP tool, LOMETS
Abstract: Proteins play a major role in biochemical and biophysical features of living organisms and the knowledge of their function is crucial in the development of new drugs, agriculture productivity improvement, biofuel production and several industrial products derived biologically. In current annotation approach, functional prediction of unknown proteins such as hypothetical proteins present in various genomes is a challenging task to the biological community. This incomplete genome information causes gaps in the knowledge especially in the area of drug discovery and metabolic engineering. Hence, an integrated genome-scale re-annotation has been evolved, which is the most promising approach to predict the functions of unknown or hypothetical proteins. In this approach, along with BLAST many other tools output will be integrated for better understanding the function of a given protein sequence. In this review, we describe the integrated re-annotation approach methods that will be helpful in systems level study of microorganisms.
Export Options
About this article
Cite this article as:
Perumal Rajadurai Chinnasamy, Kosalai Subazini Thankaswamy and Ramesh Kumar Gopal, An Integrated Re-Annotation Approach for Functional Predictions of Hypothetical Proteins in Microbial Genomes, Current Bioinformatics 2011; 6 (4) . https://dx.doi.org/10.2174/157489311798072954
DOI https://dx.doi.org/10.2174/157489311798072954 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Artificial Intelligence Approaches for Rational Drug Design and Discovery
Current Pharmaceutical Design Susceptibility of Periodontopathogenic and Cariogenic Bacteria to Defensins and Potential Therapeutic Use of Defensins in Oral Diseases
Current Pharmaceutical Design Monoterpenoid Geraniol Improves Anti-mycobacterial Drug Efficiency by Interfering with Lipidome and Virulence of Mycobacteria
Infectious Disorders - Drug Targets Universal Nature of Spondyloarthropathy as a Reactive Disease, Reflecting Differential Sensitivities
Current Rheumatology Reviews Mannose Binding Lectin: A Potential Biomarker for Many Human Diseases
Current Medicinal Chemistry Guanidinyl and Amide Conjugated Benzothiazoles as Potential Anti- Tubercular Agent and their Cytotoxicity Study
Anti-Infective Agents Potential Use of Dendritic Cells for Anti-Atherosclerotic Therapy
Current Pharmaceutical Design DNA Vaccination in Oncology: Current Status, Opportunities and Perspectives
Current Clinical Pharmacology Structure and Function of Enzymes of Shikimate Pathway
Current Bioinformatics Trends in Diagnosis for Active Tuberculosis Using Nanomaterials
Current Medicinal Chemistry Hybrid Drugs as Potential Combatants Against Drug-Resistant Microbes: A Review
Current Topics in Medicinal Chemistry Genetic Polymorphism of Organic Anion and Cation Transporters: Pharmacokinetic and Pharmacodynamic Consequences in Pharmacotherapy
Current Pharmacogenomics Cytokine and Anti-cytokine Therapies for Inflammatory Bowel Disease
Current Pharmaceutical Design Long-Term Treatment With Raltegravir is Associated with Lower Triglycerides and Platelets Count in the Older HIV+ Population: Results from the Ral-Age Study
Current HIV Research Editorial (Thematic Issue: New Antimicrobial Therapeutics)
Current Medicinal Chemistry Nitric Oxide and the Regulation of Apoptosis in Tumour Cells
Current Pharmaceutical Design A Novel Multi-Target Drug Screening Strategy Directed Against Key Proteins of DAPk Family
Combinatorial Chemistry & High Throughput Screening A Comparative Insight on the Newly Emerging Rifamycins: Rifametane, Rifalazil, TNP-2092 and TNP-2198
Current Medicinal Chemistry Novel Drugs Targeting the c-Ring of the F<sub>1</sub>F<sub>O</sub>-ATP Synthase
Mini-Reviews in Medicinal Chemistry Bioorganic Approaches Towards HIV Vaccine Design
Current Pharmaceutical Design