Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic Framework.
Sign Up to like & getrecommendations! Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8639-2_12
Abstract: Identification of drug-target interactions is a crucial process in drug discovery. In this chapter, we present protocols for recent advancements in machine learning methods for predicting drug-target interactions from heterogeneous biological data in a chemogenomic… read more here.
Keywords: kernel; target; methods predicting; drug ... See more keywords
Computational Prediction of Drug-Target Interactions via Ensemble Learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8955-3_14
Abstract: Therapeutic effects of drugs are mediated via interactions between them and their intended targets. As such, prediction of drug-target interactions is of great importance. Drug-target interaction prediction is especially relevant in the case of drug… read more here.
Keywords: drug; prediction drug; drug target; target interactions ... See more keywords
Characterizing Drug-Target Interactions: Shifting towards the Clinic.
Sign Up to like & getrecommendations! Published in 2020 at "Trends in pharmacological sciences"
DOI: 10.1016/j.tips.2020.03.001
Abstract: Recently, Perrin et al. reported the application of thermal proteome profiling (TPP), a cellular thermal shift assay with an unbiased proteomics readout to complex tissue samples from model organisms and patient-derived whole blood. This study… read more here.
Keywords: characterizing drug; drug; drug target; interactions shifting ... See more keywords
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure.
Sign Up to like & getrecommendations! Published in 2018 at "Genomics"
DOI: 10.1016/j.ygeno.2018.12.007
Abstract: The identification of drug-target interactions has great significance for pharmaceutical scientific research. Since traditional experimental methods identifying drug-target interactions is costly and time-consuming, the use of machine learning methods to predict potential drug-target interactions has… read more here.
Keywords: target; drug; drug target; target interactions ... See more keywords
Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c00424
Abstract: In silico methods to identify novel drug–target interactions (DTIs) have gained significant importance over conventional techniques owing to their labor-intensive and low-throughput nature. Here, we present a machine learning-based multiclass classification workflow that segregates interactions… read more here.
Keywords: neural network; target interactions; drug target; deep neural ... See more keywords
Surface mediated cooperative interactions of drugs enhance mechanical forces for antibiotic action
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep41206
Abstract: The alarming increase of pathogenic bacteria that are resistant to multiple antibiotics is now recognized as a major health issue fuelling demand for new drugs. Bacterial resistance is often caused by molecular changes at the… read more here.
Keywords: surface; drug; drug resistant; drug target ... See more keywords
Exploiting breakdown in nonhost effector–target interactions to boost host disease resistance
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2114064119
Abstract: Significance Plant nonhost resistance (NHR) prevents infection by all members of most microbial species, but its molecular mechanisms are not well understood. We found that effector proteins from the potato blight pathogen Phytophthora infestans, which… read more here.
Keywords: target interactions; exploiting breakdown; effector target; effector ... See more keywords
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab582
Abstract: Targeted drugs have been applied to the treatment of cancer on a large scale, and some patients have certain therapeutic effects. It is a time-consuming task to detect drug-target interactions (DTIs) through biochemical experiments. At… read more here.
Keywords: matrix; target interactions; drug target; multiple kernel ... See more keywords
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac485
Abstract: MOTIVATION Identifying drug-target interactions is a crucial step for drug discovery and design. Traditional biochemical experiments are credible to accurately validate drug-target interactions. However, they are also extremely laborious, time-consuming, and expensive. With the collection… read more here.
Keywords: target interactions; independent features; drug target; attention ... See more keywords
DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx731
Abstract: Abstract Motivation Finding computationally drug–target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate. Results… read more here.
Keywords: method; graph; drug target; target interactions ... See more keywords
Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3026479
Abstract: Predicting the target-drug interactions (DITs) is of great important for screening new drug candidate and understanding biological processes. However, identifying the drug-target interactions through traditional experiments is still costly, laborious and complicated. Thus, there is… read more here.
Keywords: drug; method; target interactions; drug target ... See more keywords