Scientific Reports, 2022 Drug-target interaction (DTI) prediction plays a crucial role in drug repositioning and virtual drug screening. Most DTI prediction methods cast the problem as a binary classification task to predict if interactions exist or as a regression task to ...
Maha A. Thafar +5 more
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Hot-spot analysis for drug discovery targeting protein-protein interactions [PDF]
, 2018 Introduction: Protein-protein interactions are important for biological processes and pathological situations, and are attractive targets for drug discovery. However, rational drug design targeting protein-protein interactions is still highly challenging.
Fernández-Recio, Juan, Rosell, Mireia
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Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems [PDF]
, 2018 A huge amount of genetic information is available thanks to the recent advances in sequencing technologies and the larger computational capabilities, but the interpretation of such genetic data at phenotypic level remains elusive.
Barradas-Bautista, Didier +3 more
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Multilevel Attention Models for Drug Target Binding Affinity Prediction [PDF]
Neural Processing Letters, 2021 Drug-Target Binding Affinity (DTBA) prediction is one class of Drug-Target Interaction problem (DTI), where the focus is to predict the binding strength of a drug-target pair. Several machine learning approaches have been developed for this purpose. However, almost all rely on the use of increasingly sophisticated inputs to improve the obtained results
openaire +1 more source
ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
, 2020 Identification of high affinity drug-target interactions is a major research question in drug discovery. Proteins are generally represented by their structures or sequences.
Ozkirimli, Elif +3 more
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BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology. [PDF]
, 2015 BindingDB, www.bindingdb.org, is a publicly accessible database of experimental protein-small molecule interaction data. Its collection of over a million data entries derives primarily from scientific articles and, increasingly, US patents.
Baitaluk, Michael +5 more
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Biomolecules, 2021 The binding affinity of small molecules to receptor proteins is essential to drug discovery and drug repositioning. Chemical methods are often time-consuming and costly, and models for calculating the binding affinity are imperative.
Xun Wang +4 more
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Identification of Small-Molecule Inhibitors against Meso-2, 6-Diaminopimelate Dehydrogenase from Porphyromonas gingivalis [PDF]
, 2015 Species-specific antimicrobial therapy has the potential to combat the increasing threat of antibiotic resistance and alteration of the human microbiome.
Chen, Weihau +7 more
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Enhanced information cross-attention fusion for drug–target binding affinity prediction [PDF]
PeerJ Computer ScienceBackground The rapid development of artificial intelligence has permeated many fields, with its application in drug discovery becoming increasingly mature.
Ailu Fei +5 more
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Docking and QSAR Studies of Camptothecin Derivatives as Inhibitor of DNA Topoisomerase-I [PDF]
, 2011 Camptothecin (CPT) is a cytotoxic quinoline alkaloid which inhibits the DNA enzyme Topoisomerase-I (Topo-I) and has shown remarkable anticancer activity in preliminary clinical trials. The major limitation is its low solubility and high adverse reaction.
Dharmendra K. Yadav +2 more
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