BOW-GBDT: A GBDT Classifier Combining With Artificial Neural Network for Identifying GPCR–Drug Interaction Based on Wordbook Learning From Sequences

RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites

(2020) Zhibin Lv et al.   Frontiers in Bioengineering and Biotechnology

GCN-CNN: A Novel Deep Learning Method for Prioritizing lncRNA Target Genes

(2020) Tianyi Zhao et al.   BIOINFORMATICS

Identifying GPCR-drug interaction based on wordbook learning from sequences

(2020) Pu Wang et al.   BMC BIOINFORMATICS

Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm

(2020) Xiaoqing Ru et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches

(2020) Tianyi Zhao et al.   BRIEFINGS IN BIOINFORMATICS

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

(2019) Lei Xu et al.   Frontiers in Genetics

Predicting Drug-target Interactions via FM-DNN Learning

(2019) Jihong Wang et al.   Current Bioinformatics

Incorporating Distance-based Top-n-gram and Random Forest to Identify Electron Transport Proteins

(2019) Xiaoqing Ru et al.   JOURNAL OF PROTEOME RESEARCH

SecProMTB: Support vector machine‐based classifier for secretory proteins using imbalanced data sets applied to Mycobacterium tuberculosis

(2019) Chaolu Meng et al.   PROTEOMICS

Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees

(2019) Li Li et al.   Scientific Reports

Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks

(2019) Xiangxiang Zeng et al.   Molecular Therapy-Nucleic Acids

Computational methods for identifying similar diseases

(2019) Liang Cheng et al.   Molecular Therapy-Nucleic Acids

Computational and Biological Methods for Gene Therapy

(2019) Liang Cheng   CURRENT GENE THERAPY

Analysis and prediction of presynaptic and postsynaptic neurotoxins by Chou's general pseudo amino acid composition and motif features

(2018) Juan Mei et al.   JOURNAL OF THEORETICAL BIOLOGY

iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition

(2018) Muhammad Arif et al.   JOURNAL OF THEORETICAL BIOLOGY

Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

(2018) Xiaoying Wang et al.   BIOINFORMATICS

Human Disease System Biology

(2018) Liang Cheng et al.   CURRENT GENE THERAPY

HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source

(2017) Shixiang Wan et al.   PROTEOMICS

GPCR–drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure

(2016) Jun Hu et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

SMOTE for high-dimensional class-imbalanced data

(2013) Rok Blagus et al.   BMC BIOINFORMATICS

A computational tool to predict the evolutionarily conserved protein-protein interaction hot-spot residues from the structure of the unbound protein

(2013) Neeraj J. Agrawal et al.   FEBS LETTERS

iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking

(2013) Xuan Xiao et al.   PLoS One

Tools for GPCR drug discovery

(2012) Ru Zhang et al.   ACTA PHARMACOLOGICA SINICA

Guide to Receptors and Channels (GRAC), 5th edition

(2011) SPH Alexander et al.   BRITISH JOURNAL OF PHARMACOLOGY

Open Babel: An open chemical toolbox

(2011) Noel M O'Boyle et al.   Journal of Cheminformatics

Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features

(2010) Zhisong He et al.   PLoS One

Prediction of drug-target interaction networks from the integration of chemical and genomic spaces

(2008) Y. Yamanishi et al.   BIOINFORMATICS