Results 1 to 10 of about 11,032,615 (302)
Drug–target affinity prediction with extended graph learning-convolutional networks
Background High-performance computing plays a pivotal role in computer-aided drug design, a field that holds significant promise in pharmaceutical research.
Haiou Qi, Ting Yu, Wenwen Yu, Chenxi Liu
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Different rice cultivars contain various metabolites which are closely related with their nutritional and functional effects. In the current study, NMR and chemometrics methods – decision tree analysis (DTA) were applied to explore the chemical ...
Hongying Du +7 more
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Structural modification of hypoeutectic Al-Si alloy EN-AC 46000 alloy influences its microstructure and mechanical properties. In a series of examinations the EN-AC 46000 alloy has been doped with Cr, W and Mo. The study involved the differential thermal
Szymczak T. +3 more
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The purpose of this study is to determine the influence of factors of sales growth, tangibility of assets, profitability, liquidity and firm size of capital structure on agribusiness corporates listed on the Indonesia Stock Exchange during 2007-2012 ...
Wahyu Handono +2 more
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Structure-free drug–target affinity prediction using protein and molecule language models
Accurate prediction of drug-target affinity (DTA) is crucial for advancing drug discovery and optimizing experimental processes. Traditional DTA models often rely on handcrafted features or structural data, which can limit their generalizability and ...
Amir Hallaji Bidgoli +2 more
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Drug development requires accurate drug-target interaction (DTI) information to evaluate a drug's potential. However, existing current methods for estimating DTI are slow and expensive.
Ghina Khoerunnisa, Isman Kurniawan
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Growing of Mercury-Indium Telluride Perfect Single Crystals
The perfect single crystals of mercury-indium telluride were grown by the modified method of zone melting. The differential thermal analysis (DTA) and X-ray structure analysis are performed.
O. V. Galochkin +5 more
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity
Background Drug-target binding affinity (DTA) prediction is vital in drug discovery and repositioning, more and more researchers are beginning to focus on this. Many effective methods have been proposed.
Junwei Luo +5 more
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Objective: To develop and evaluate the reliability and validity of a new observational Drinking Task Assessment (DTA) designed to assess quality of movement in task performance after stroke. Design: Reliability and validity.
Minnu Jose +2 more
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The advancement of computing and communication technologies has fueled the growth of Information Technology (IT), with Artificial Intelligence (AI) emerging as a transformative force in modernizing project management practices.
Olusina Temidayo Akinyokun +2 more
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