Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization

(2018) Hui Yu et al.   BMC Systems Biology

Open-source chemogenomic data-driven algorithms for predicting drug–target interactions

(2018) Ming Hao et al.   BRIEFINGS IN BIOINFORMATICS

Social network data to alleviate cold-start in recommender system: A systematic review

(2018) Lesly Alejandra Gonzalez Camacho et al.   INFORMATION PROCESSING & MANAGEMENT

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

(2018) Jian-Yu Shi et al.   BMC BIOINFORMATICS

Predicting combinative drug pairs via multiple classifier system with positive samples only

(2018) Jian-Yu Shi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new chemoinformatics approach with improved strategies for effective predictions of potential drugs

(2018) Ming Hao et al.   Journal of Cheminformatics

Pharmacokinetic drug-drug interaction between erlotinib and paracetamol: A potential risk for clinical practice

(2017) Agnieszka Karbownik et al.   EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

Efficient measurement and factorization of high-order drug interactions in Mycobacterium tuberculosis

(2017) Murat Cokol et al.   Science Advances

Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature

(2016) Yaoyun Zhang et al.   BMC Systems Biology

Interaction Between Amiodarone and Sofosbuvir-based Treatment for Hepatitis C Virus Infection: Potential Mechanisms and Lessons to be Learned

(2015) David J. Back et al.   GASTROENTEROLOGY

Predicting drug–target interaction for new drugs using enhanced similarity measures and super-target clustering

(2015) Jian-Yu Shi et al.   METHODS

Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects

(2015) Ping Zhang et al.   Scientific Reports

A novel feature-based approach to extract drug-drug interactions from biomedical text

(2014) Q.-C. Bui et al.   BIOINFORMATICS

Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

(2014) Feixiong Cheng et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Similarity-based modeling in large-scale prediction of drug-drug interactions

(2014) Santiago Vilar et al.   Nature Protocols

DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome

(2014) Heng Luo et al.   NUCLEIC ACIDS RESEARCH

DrugBank 4.0: shedding new light on drug metabolism

(2013) Vivian Law et al.   NUCLEIC ACIDS RESEARCH

Literature Based Drug Interaction Prediction with Clinical Assessment Using Electronic Medical Records: Novel Myopathy Associated Drug Interactions

(2012) Jon D. Duke et al.   PLoS Computational Biology

Computing global structural balance in large-scale signed social networks

(2011) G. Facchetti et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data

(2011) Xing-Ming Zhao et al.   PLoS Computational Biology

How much ritonavir is needed to boost protease inhibitors? Systematic review of 17 dose-ranging pharmacokinetic trials

(2009) Andrew Hill et al.   AIDS

Comprehensive characterization of cytochrome P450 isozyme selectivity across chemical libraries

(2009) Henrike Veith et al.   NATURE BIOTECHNOLOGY

Community detection in networks with positive and negative links

(2009) V. A. Traag et al.   PHYSICAL REVIEW E

Convex and Semi-Nonnegative Matrix Factorizations

(2008) C.H.Q. Ding et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE