HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule
Authors
Keywords
-
Journal
Frontiers in Pharmacology
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-11-08
DOI
10.3389/fphar.2019.01301
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Drug repositioning through integration of prior knowledge and projections of drugs and diseases
- (2019) Ping Xuan et al. BIOINFORMATICS
- iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid Composition
- (2019) Asma Ehsan et al. CURRENT GENOMICS
- Advance in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs
- (2019) Kuo-Chen Chou CURRENT MEDICINAL CHEMISTRY
- pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC
- (2018) Xiang Cheng et al. BIOINFORMATICS
- Predicting drug-disease associations by using similarity constrained matrix factorization
- (2018) Wen Zhang et al. BMC BIOINFORMATICS
- pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC
- (2018) Xuan Xiao et al. GENOMICS
- Drug repurposing: progress, challenges and recommendations
- (2018) Sudeep Pushpakom et al. NATURE REVIEWS DRUG DISCOVERY
- SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins
- (2018) Waqar Hussain et al. ANALYTICAL BIOCHEMISTRY
- Enhancing the Promise of Drug Repositioning through Genetics
- (2017) Jayne-Louise E. Pritchard et al. Frontiers in Pharmacology
- Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
- (2016) Huimin Luo et al. BIOINFORMATICS
- Can you teach old drugs new tricks?
- (2016) Nicola Nosengo NATURE
- NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning
- (2016) Xing Chen et al. PLoS Computational Biology
- DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
- (2015) Víctor Martínez et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Inferring drug-disease associations based on known protein complexes
- (2015) Liang Yu et al. BMC Medical Genomics
- A survey of current trends in computational drug repositioning
- (2015) Jiao Li et al. BRIEFINGS IN BIOINFORMATICS
- Network-Based Inference Methods for Drug Repositioning
- (2015) Hailin Chen et al. Computational and Mathematical Methods in Medicine
- Systematic Drug Repositioning for a Wide Range of Diseases with Integrative Analyses of Phenotypic and Molecular Data
- (2015) Hiroaki Iwata et al. Journal of Chemical Information and Modeling
- Impacts of Bioinformatics to Medicinal Chemistry
- (2015) Kuo-Chen Chou Medicinal Chemistry
- Drug repositioning by integrating target information through a heterogeneous network model
- (2014) Wenhui Wang et al. BIOINFORMATICS
- Recent Advances in Drug Repositioning for the Discovery of New Anticancer Drugs
- (2014) Joong Sup Shim et al. International Journal of Biological Sciences
- Exploring the associations between drug side-effects and therapeutic indications
- (2014) Fei Wang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Clinical development success rates for investigational drugs
- (2014) Michael Hay et al. NATURE BIOTECHNOLOGY
- The InterPro protein families database: the classification resource after 15 years
- (2014) Alex Mitchell et al. NUCLEIC ACIDS RESEARCH
- Computational drug repositioning through heterogeneous network clustering
- (2013) Chao Wu et al. BMC Systems Biology
- Computational Drug Repositioning: From Data to Therapeutics
- (2013) M R Hurle et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data
- (2013) Yongcui Wang et al. PLoS One
- Resveratrol role inStaphylococcus aureus-induced corneal inflammation
- (2013) Andreana Marino et al. Pathogens and Disease
- Predicting New Indications for Approved Drugs Using a Proteochemometric Method
- (2012) Sivanesan Dakshanamurthy et al. JOURNAL OF MEDICINAL CHEMISTRY
- Drug repositioning: Re-investigating existing drugs for new therapeutic indications
- (2011) BM Padhy et al. Journal of Postgraduate Medicine
- PREDICT: a method for inferring novel drug indications with application to personalized medicine
- (2011) A. Gottlieb et al. Molecular Systems Biology
- Systematic Drug Repositioning Based on Clinical Side-Effects
- (2011) Lun Yang et al. PLoS One
- Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data
- (2011) M. Sirota et al. Science Translational Medicine
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
- (2010) Dong Wang et al. BIOINFORMATICS
- Some remarks on protein attribute prediction and pseudo amino acid composition
- (2010) Kuo-Chen Chou JOURNAL OF THEORETICAL BIOLOGY
- How to improve R&D productivity: the pharmaceutical industry's grand challenge
- (2010) Steven M. Paul et al. NATURE REVIEWS DRUG DISCOVERY
- Systematic Evaluation of Drug–Disease Relationships to Identify Leads for Novel Drug Uses
- (2009) A P Chiang et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Drug Development: From Concept to Marketing!
- (2009) Nihad A.M. Tamimi et al. NEPHRON CLINICAL PRACTICE
- The Universal Protein Resource (UniProt) in 2010
- (2009) NUCLEIC ACIDS RESEARCH
- PubChem: a public information system for analyzing bioactivities of small molecules
- (2009) Y. Wang et al. NUCLEIC ACIDS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now