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Drug-Target Interaction prediction using Multi-Graph Regularized Deep Matrix Factorization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/minf.201501008openalex-snapshot

Deep Learning in Drug Discovery

inferredcites →https://doi.org/10.1007/s11095-016-2029-7openalex-snapshot

The Next Era: Deep Learning in Pharmaceutical Research

inferredcites →https://doi.org/10.1016/j.neucom.2016.03.079openalex-snapshot

Multi-fields model for predicting target–ligand interaction

inferredcites →https://doi.org/10.1016/j.neucom.2016.03.080openalex-snapshot

Predicting drug–target interaction using positive-unlabeled learning

inferredcites →https://doi.org/10.1016/j.neucom.2016.10.039openalex-snapshot

DrugRPE: Random projection ensemble approach to drug-target interaction prediction

inferredcites →https://doi.org/10.1016/j.neucom.2017.04.055openalex-snapshot

Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

inferredcites →https://doi.org/10.1016/j.neucom.2018.01.085openalex-snapshot

Feature-derived graph regularized matrix factorization for predicting drug side effects

inferredcites →https://doi.org/10.1016/j.neunet.2013.06.013openalex-snapshot

An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion

inferredcites →https://doi.org/10.1016/j.neunet.2014.03.007openalex-snapshot

Detecting cells using non-negative matrix factorization on calcium imaging data

inferredcites →https://doi.org/10.1016/j.neunet.2017.10.007openalex-snapshot

Matrix completion by deep matrix factorization

inferredcites →https://doi.org/10.1016/s0893-6080(99)00094-5openalex-snapshot

Neural networks are useful tools for drug design

inferredcites →https://doi.org/10.1021/ci400219zopenalex-snapshot

Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization

inferredcites →https://doi.org/10.1038/437942aopenalex-snapshot

Playing dirty

inferredcites →https://doi.org/10.1038/44565openalex-snapshot

Learning the parts of objects by non-negative matrix factorization

inferredcites →https://doi.org/10.1038/nbt1273openalex-snapshot

Structure-based maximal affinity model predicts small-molecule druggability

inferredcites →https://doi.org/10.1038/nbt1284openalex-snapshot

Relating protein pharmacology by ligand chemistry

inferredcites →https://doi.org/10.1038/nrd1468openalex-snapshot

Drug repositioning: identifying and developing new uses for existing drugs

inferredcites →https://doi.org/10.1039/c2mb00002dopenalex-snapshot

Drug–target interaction prediction by random walk on the heterogeneous network

inferredcites →https://doi.org/10.1089/cmb.2006.13.267openalex-snapshot

RNA–RNA Interaction Prediction and Antisense RNA Target Search

inferredcites →https://doi.org/10.1093/bib/bbt056openalex-snapshot

Similarity-based machine learning methods for predicting drug–target interactions: a brief review

inferredcites →https://doi.org/10.1093/bib/bby002openalex-snapshot

Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey

inferredcites →https://doi.org/10.1093/bioinformatics/bth402openalex-snapshot

Conserved network motifs allow protein–protein interaction prediction

inferredcites →https://doi.org/10.1093/bioinformatics/btn162openalex-snapshot

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

inferredcites →https://doi.org/10.1093/bioinformatics/btp433openalex-snapshot

Supervised prediction of drug–target interactions using bipartite local models

inferredcites →https://doi.org/10.1093/bioinformatics/btr500openalex-snapshot

Gaussian interaction profile kernels for predicting drug–target interaction

inferredcites →https://doi.org/10.1093/bioinformatics/bts670openalex-snapshot

Drug–target interaction prediction by learning from local information and neighbors

inferredcites →https://doi.org/10.1093/nar/gkh081openalex-snapshot

BRENDA, the enzyme database: updates and major new developments

inferredcites →https://doi.org/10.1093/nar/gkj102openalex-snapshot

From genomics to chemical genomics: new developments in KEGG

inferredcites →https://doi.org/10.1093/nar/gkl114openalex-snapshot

TarFisDock: a web server for identifying drug targets with docking approach

inferredcites →https://doi.org/10.1093/nar/gkm862openalex-snapshot

SuperTarget and Matador: resources for exploring drug-target relationships

inferredcites →https://doi.org/10.1093/nar/gkm958openalex-snapshot

DrugBank: a knowledgebase for drugs, drug actions and drug targets

inferredcites →https://doi.org/10.1093/nar/gkq367openalex-snapshot

SIMCOMP/SUBCOMP: chemical structure search servers for network analyses

inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot

ChEMBL: a large-scale bioactivity database for drug discovery

inferredcites →https://doi.org/10.1093/nar/gkr988openalex-snapshot

KEGG for integration and interpretation of large-scale molecular data sets

inferredcites →https://doi.org/10.1093/nar/gkt1207openalex-snapshot

STITCH 4: integration of protein–chemical interactions with user data

inferredcites →https://doi.org/10.1109/access.2016.2611583openalex-snapshot

Deep Dictionary Learning

inferredcites →https://doi.org/10.1109/bibm.2015.7359921openalex-snapshot

SRP: A concise non-parametric similarity-rank-based model for predicting drug-target interactions

inferredcites →https://doi.org/10.1109/biocas.2018.8584817openalex-snapshot

Predicting Drug-Target Interaction Using Deep Matrix Factorization

inferredcites →https://doi.org/10.1109/icdm.2008.57openalex-snapshot

Non-negative Matrix Factorization on Manifold

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tcbb.2016.2530062openalex-snapshot

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

inferredcites →https://doi.org/10.1109/tip.2016.2624140openalex-snapshot

Weakly Supervised Deep Matrix Factorization for Social Image Understanding

inferredcites →https://doi.org/10.1109/tpami.2007.250598openalex-snapshot

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

inferredcites →https://doi.org/10.1109/tpami.2016.2554555openalex-snapshot

A Deep Matrix Factorization Method for Learning Attribute Representations

inferredcites →https://doi.org/10.1109/tsp.2016.2601299openalex-snapshot

Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning

inferredcites →https://doi.org/10.1112/s0024609397223611openalex-snapshot

SPECTRAL GRAPH THEORY (CBMS Regional Conference Series in Mathematics 92)

inferredcites →https://doi.org/10.1137/1.9781611972795.97openalex-snapshot

Local Relevance Weighted Maximum Margin Criterion for Text Classification

inferredcites →https://doi.org/10.1145/2487575.2487670openalex-snapshot

Collaborative matrix factorization with multiple similarities for predicting drug-target interactions

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

inferredcites →https://doi.org/10.1155/2015/239654openalex-snapshot

A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era

inferredcites →https://doi.org/10.1155/2018/1425608openalex-snapshot

Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion

inferredcites →https://doi.org/10.1158/1535-7163.mct-05-0070openalex-snapshot

Imatinib binding and cKIT inhibition is abrogated by the cKIT kinase domain I missense mutation Val654Ala

inferredcites →https://doi.org/10.1186/2193-9616-1-17openalex-snapshot

Drug-target and disease networks: polypharmacology in the post-genomic era

inferredcites →https://doi.org/10.1371/journal.pcbi.1002037openalex-snapshot

Drug Discovery Using Chemical Systems Biology: Weak Inhibition of Multiple Kinases May Contribute to the Anti-Cancer Effect of Nelfinavir

inferredcites →https://doi.org/10.1371/journal.pcbi.1002503openalex-snapshot

Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

inferredcites →https://doi.org/10.1371/journal.pcbi.1004760openalex-snapshot

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

inferredcites →https://doi.org/10.1371/journal.pone.0009603openalex-snapshot

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

inferredcites →https://doi.org/10.1371/journal.pone.0037608openalex-snapshot

A Systematic Prediction of Multiple Drug-Target Interactions from Chemical, Genomic, and Pharmacological Data

inferredcites →https://doi.org/10.2174/157341208783497597openalex-snapshot

Protein-ligand Docking: A Review of Recent Advances and Future Perspectives

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ymeth.2022.05.008openalex-snapshot

Weighted deep factorizing heterogeneous molecular network for genome-phenome association prediction

inferred← citeshttps://doi.org/10.1101/2020.08.02.233155openalex-snapshot

Using Single Protein/Ligand Binding Models to Predict Active Ligands for Unseen Proteins

inferred← citeshttps://doi.org/10.1109/tcbbio.2025.3570865openalex-snapshot

Deep Probabilistic Matrix Factorization on Graphs: Application to Drug Repositioning in Antimicrobial Resistance

inferred← citeshttps://doi.org/10.3390/ijms22189983openalex-snapshot

Comprehensive Survey of Recent Drug Discovery Using Deep Learning

inferred← citeshttps://doi.org/10.3390/pr11051340openalex-snapshot

Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review

inferred← citeshttps://doi.org/10.36227/techrxiv.12987497openalex-snapshot

DeepVir - Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning: Application to COVID-19

inferred← citeshttps://doi.org/10.36227/techrxiv.12987497.v1openalex-snapshot

DeepVir - Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning: Application to COVID-19

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