Abstract
We evaluated the i-peptides occurrence frequency in the protein sequences, belonging to two reference datasets containing structured and disordered protein domains. Moreover we estimated the most frequent i-peptides (with i= 2, 3, 4) into these sequences in order to select specific i-peptides for each structural classification. According to these specific ipeptides, a new binary classification method was developed for predicting if a given protein sequence can be classified as “disordered” or “structured”. The best results were obtained using the tri-peptides, much more able to gain structural information from sequences compared to the di-peptides.
Keywords: Binary classification method, disordered proteins, disorder prediction, peptides occurrence frequency, protein folding, protein unfolding, method, disordered, disorder, peptides, protein, unfolding, i-peptides, DNA, AD, (NACP), p53, (IUPs), 25PDB, DisProt, specific i-peptides, validation, correlation coefficient, weighted score, CASP8, PREDISPRO, CGI, hydrophilic, 3-Dstructure, (AC), PREC-LASSPRO, CH-plot
Protein & Peptide Letters
Title: Frequencies of Specific Peptides in Intrinsic Disordered Protein Domains
Volume: 17 Issue: 11
Author(s): Susan Costantini, Maria Costantini and Giovanni Colonna
Affiliation:
Keywords: Binary classification method, disordered proteins, disorder prediction, peptides occurrence frequency, protein folding, protein unfolding, method, disordered, disorder, peptides, protein, unfolding, i-peptides, DNA, AD, (NACP), p53, (IUPs), 25PDB, DisProt, specific i-peptides, validation, correlation coefficient, weighted score, CASP8, PREDISPRO, CGI, hydrophilic, 3-Dstructure, (AC), PREC-LASSPRO, CH-plot
Abstract: We evaluated the i-peptides occurrence frequency in the protein sequences, belonging to two reference datasets containing structured and disordered protein domains. Moreover we estimated the most frequent i-peptides (with i= 2, 3, 4) into these sequences in order to select specific i-peptides for each structural classification. According to these specific ipeptides, a new binary classification method was developed for predicting if a given protein sequence can be classified as “disordered” or “structured”. The best results were obtained using the tri-peptides, much more able to gain structural information from sequences compared to the di-peptides.
Export Options
About this article
Cite this article as:
Costantini Susan, Costantini Maria and Colonna Giovanni, Frequencies of Specific Peptides in Intrinsic Disordered Protein Domains, Protein & Peptide Letters 2010; 17 (11) . https://dx.doi.org/10.2174/0929866511009011398
DOI https://dx.doi.org/10.2174/0929866511009011398 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
- 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
-
Targeting MCP-1 to Reduce Vascular Complications of Obesity
Recent Patents on Cardiovascular Drug Discovery Central Blood Pressure and Prediction of Cardiovascular Events
Current Hypertension Reviews Essential Polymers Helping Patients with Obesity
Current Applied Polymer Science Clinical Utility of Biomarkers in Premature Atherosclerosis
Current Medicinal Chemistry Pharmacogenomics: A Tool to Prevent and Cure Coronary Heart Disease
Current Pharmaceutical Design IP6 & Inositol in Cancer Prevention and Therapy
Current Cancer Therapy Reviews New Strategies for Managing Anemia of Chronic Kidney Disease
Cardiovascular & Hematological Agents in Medicinal Chemistry A Review of Systemic Vasodilators in Low Cardiac Output Syndrome Following Pediatric Cardiac Surgery
Current Vascular Pharmacology Thrombolytic Therapy in Peripheral Arterial Disease
Current Drug Targets - Cardiovascular & Hematological Disorders Effect of Androgenic and Antiandrogenic Acting Compounds in Macrophage Accumulation and Cell Replication in the Aorta of Oophorectomized Hypercholesterolemic Rabbits
Vascular Disease Prevention (Discontinued) Atenolol: Differences in Mode of Action Compared with other Antihypertensives.An Opportunity to Identify Features that Influence Outcome?
Current Pharmaceutical Design Subject Index To Volume 13
Current Medicinal Chemistry Antidiabetic Potential of Fabaceae Family: An Overview
Current Nutrition & Food Science Clinical Grade Stem Cell Culture
Recent Patents on Regenerative Medicine Alkyl Chloroformates in Sample Derivatization Strategies for GC Analysis. Review on a Decade Use of the Reagents as Esterifying Agents
Current Pharmaceutical Analysis Diabetic Cardiomyopathy and its Prevention by Metallothionein: Experimental Evidence, Possible Mechanisms and Clinical Implications
Current Medicinal Chemistry The Role of Platelets in Cardiovascular Disease: Molecular Mechanisms
Current Pharmaceutical Design Anti-inflammatory and Immune Therapy for Alzheimers Disease: Current Status and Future Directions
Current Neuropharmacology The Effect of Sex and Gender on Diabetic Complications
Current Diabetes Reviews The GH/IGF-1 Axis in Chronic Heart Failure
Endocrine, Metabolic & Immune Disorders - Drug Targets