Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only

Neural networks for secondary structure and structural class predictions

(2010) John-Marc Chandonia et al.   PROTEIN SCIENCE

Accessory active site residues of Streptomyces sp. N174 chitosanase

(2009) Marie-Ève Lacombe-Harvey et al.   FEBS Journal

Improved Disorder Prediction by Combination of Orthogonal Approaches

(2009) Avner Schlessinger et al.   PLoS One

Secondary structure-based assignment of the protein structural classes

(2008) Lukasz A. Kurgan et al.   AMINO ACIDS

HSEpred: predict half-sphere exposure from protein sequences

(2008) Jiangning Song et al.   BIOINFORMATICS

Prediction of recursive convex hull class assignments for protein residues

(2008) Michael Stout et al.   BIOINFORMATICS

SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences

(2008) Lukasz Kurgan et al.   BMC BIOINFORMATICS

Sequence based residue depth prediction using evolutionary information and predicted secondary structure

(2008) Hua Zhang et al.   BMC BIOINFORMATICS

Nature of Protein Family Signatures: Insights from Singular Value Analysis of Position-Specific Scoring Matrices

(2008) Akira R. Kinjo et al.   PLoS One

SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model

(2008) Wei Zhang et al.   PLoS One

CyclinPred: A SVM-Based Method for Predicting Cyclin Protein Sequences

(2008) Mridul K. Kalita et al.   PLoS One

PocketDepth: A new depth based algorithm for identification of ligand binding sites in proteins

(2007) Yeturu Kalidas et al.   JOURNAL OF STRUCTURAL BIOLOGY