NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features

Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition

(2012) Krishna Kumar Kandaswamy et al.   PROTEIN AND PEPTIDE LETTERS

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

A high-accuracy protein structural class prediction algorithm using predicted secondary structural information

(2010) Tian Liu et al.   JOURNAL OF THEORETICAL BIOLOGY

Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphisms

(2010) Majid Masso 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

Characteristic Peptides of Protein Secondary Structural Motifs

(2010) Rajani R. Joshi et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of Subcellular Location of Apoptosis Proteins Using Pseudo Amino Acid Composition: An Approach from Auto Covariance Transformation

(2010) Taigang Liu et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

(2010) Hassan Mohabatkar   PROTEIN AND PEPTIDE LETTERS

Prediction of nuclear receptors with optimal pseudo amino acid composition

(2009) Qing-Bin Gao et al.   ANALYTICAL BIOCHEMISTRY

Geometry preserving projections algorithm for predicting membrane protein types

(2009) Tong Wang et al.   JOURNAL OF THEORETICAL BIOLOGY