An in silico approach to identification, categorization and prediction of nucleic acid binding proteins

k-Skip-n-Gram-RF: A Random Forest Based Method for Alzheimer's Disease Protein Identification

(2019) Lei Xu et al.   Frontiers in Genetics

SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins

(2018) Lei Xu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides

(2018) Lei Xu et al.   Genes

HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification

(2018) Jiazhou Chen et al.   BIOINFORMATICS

A Review of DNA-binding Protein Prediction Methods

(2018) Kaiyang Qu et al.   Current Bioinformatics

An Efficient Classifier for Alzheimer’s Disease Genes Identification

(2018) Lei Xu et al.   MOLECULES

Expansion of the Gene Ontology knowledgebase and resources

(2016)   NUCLEIC ACIDS RESEARCH

InterPro in 2017—beyond protein family and domain annotations

(2016) Robert D. Finn et al.   NUCLEIC ACIDS RESEARCH

Enhanced Protein Fold Prediction Method Through a Novel Feature Extraction Technique

(2015) Leyi Wei et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

3Dmol.js: molecular visualization with WebGL

(2014) N. Rego et al.   BIOINFORMATICS

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

(2014) Bin Liu et al.   BIOINFORMATICS

Integrating protein structural dynamics and evolutionary analysis with Bio3D

(2014) Lars Skjærven et al.   BMC BIOINFORMATICS

SIFTS: Structure Integration with Function, Taxonomy and Sequences resource

(2012) Sameer Velankar et al.   NUCLEIC ACIDS RESEARCH

The Protein-DNA Interface database

(2010) Tomás Norambuena et al.   BMC BIOINFORMATICS

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY