iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteineS-nitrosylation sites in proteins
出版年份 2013 全文链接
标题
iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteineS-nitrosylation sites in proteins
作者
关键词
-
出版物
PeerJ
Volume 1, Issue -, Pages e171
出版商
PeerJ
发表日期
2013-10-03
DOI
10.7717/peerj.171
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
- (2013) Xuan Xiao et al. ANALYTICAL BIOCHEMISTRY
- propy: a tool to generate various modes of Chou’s PseAAC
- (2013) Dong-Sheng Cao et al. BIOINFORMATICS
- GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
- (2013) Shibiao Wan et al. JOURNAL OF THEORETICAL BIOLOGY
- Some remarks on predicting multi-label attributes in molecular biosystems
- (2013) Kuo-Chen Chou Molecular BioSystems
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
- (2013) Wei Chen et al. NUCLEIC ACIDS RESEARCH
- iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition
- (2013) Yan Xu et al. PLoS One
- Predicting Antibacterial Peptides by the Concept of Chou's Pseudo-amino Acid Composition and Machine Learning Methods
- (2013) Maede Khosravian et al. PROTEIN AND PEPTIDE LETTERS
- PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions
- (2012) Pufeng Du et al. ANALYTICAL BIOCHEMISTRY
- Predict mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou’s pseudo amino acid composition
- (2012) Guo-Liang Fan et al. JOURNAL OF THEORETICAL BIOLOGY
- Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning
- (2012) Suyu Mei JOURNAL OF THEORETICAL BIOLOGY
- Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou’s pseudo amino acid composition
- (2012) Yen-Kuang Chen et al. JOURNAL OF THEORETICAL BIOLOGY
- Prediction of Allergenic Proteins by Means of the Concept of Chou's Pseudo Amino Acid Composition and a Machine Learning Approach
- (2012) Hassan Mohabatkar et al. Medicinal Chemistry
- Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities
- (2012) Lei Chen et al. PLoS One
- iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties
- (2012) Wei Chen et al. PLoS One
- An Efficient Support Vector Machine Approach for Identifying Protein S-nitrosylation Sites
- (2012) Yu-Xin Li et al. PROTEIN AND PEPTIDE LETTERS
- Predicting Protein Fold Types by the General Form of Chou's Pseudo Amino Acid Composition: Approached from Optimal Feature Extractions
- (2012) Lei Liu et al. PROTEIN AND PEPTIDE LETTERS
- Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches
- (2011) Bi-Qing Li et al. Journal of Proteomics
- Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
- (2011) Hassan Mohabatkar et al. JOURNAL OF THEORETICAL BIOLOGY
- iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites
- (2011) Kuo-Chen Chou et al. Molecular BioSystems
- iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins
- (2011) Kuo-Chen Chou et al. PLoS One
- S-Alkylating Labeling Strategy for Site-Specific Identification of theS-Nitrosoproteome
- (2010) Yi-Ju Chen et al. JOURNAL OF PROTEOME RESEARCH
- SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition
- (2010) Lezheng Yu et al. JOURNAL OF THEORETICAL BIOLOGY
- Protein classification using texture descriptors extracted from the protein backbone image
- (2010) Loris Nanni et al. JOURNAL OF THEORETICAL BIOLOGY
- Some remarks on protein attribute prediction and pseudo amino acid composition
- (2010) Kuo-Chen Chou JOURNAL OF THEORETICAL BIOLOGY
- GPS-SNO: Computational Prediction of Protein S-Nitrosylation Sites with a Modified GPS Algorithm
- (2010) Yu Xue et al. PLoS One
- Incorporating support vector machine for identifying protein tyrosine sulfation sites
- (2009) Wen-Chi Chang et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
- (2009) Maryam Esmaeili et al. JOURNAL OF THEORETICAL BIOLOGY
- Proteomic analysis of S-nitrosylation and denitrosylation by resin-assisted capture
- (2009) Michael T Forrester et al. NATURE BIOTECHNOLOGY
- Kinase mutations in human disease: interpreting genotype–phenotype relationships
- (2009) Piya Lahiry et al. NATURE REVIEWS GENETICS
- S-nitrosylation of XIAP compromises neuronal survival in Parkinson's disease
- (2009) A. H. K. Tsang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- S-Nitrosylation of Drp1 Mediates β-Amyloid-Related Mitochondrial Fission and Neuronal Injury
- (2009) Dong-Hyung Cho et al. SCIENCE
- Using Chou’s pseudo amino acid composition to predict protein quaternary structure: a sequence-segmented PseAAC approach
- (2008) Shao-Wu Zhang et al. AMINO ACIDS
- HIVcleave: a web-server for predicting human immunodeficiency virus protease cleavage sites in proteins
- (2008) Hong-Bin Shen et al. ANALYTICAL BIOCHEMISTRY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started