Results 51 to 60 of about 888,632 (296)
Drug-Target Interaction Prediction Based on Drug Fingerprint Information and Protein Sequence
Molecules, 2019 The identification of drug-target interactions (DTIs) is a critical step in drug development. Experimental methods that are based on clinical trials to discover DTIs are time-consuming, expensive, and challenging.
Yang Li +4 more
doaj +1 more source
A machine learning framework for predicting drug–drug interactions
Scientific Reports, 2021 Understanding drug–drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a high ...
Suyu Mei, Kun Zhang
doaj +1 more source
Biomedicines, 2022 Drug-target binding affinity (DTA) prediction is an essential step in drug discovery. Drug-target protein binding occurs at specific regions between the protein and drug, rather than the entire protein and drug.
Haelee Bae, Hojung Nam
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
, 2023 (a) Drug-target interaction network predicted by PortalCG. Yellow rectangles and green ovals represent drugs and targets, respectively. (b) Docking pose and ligand binding interactions between protein TIR domain-containing adapter molecule 2 (Uniprot ...
Hari Krishna Namballa (14445584) +12 more
core +1 more source
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
BMC Bioinformatics, 2021 Background Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming.
Seyedeh Zahra Sajadi +3 more
doaj +1 more source
Molecules, 2023 The prediction of drug-target interactions (DTIs) is a vital step in drug discovery. The success of machine learning and deep learning methods in accurately predicting DTIs plays a huge role in drug discovery.
Azwaar Khan Azlim Khan +1 more
doaj +1 more source
Computational discovery of drug-target interaction
, 2018 The discovery of antibiotics was quickly followed by the emergence of bacterial antibiotic resistance. This resistance, makes the discovery of new drugs an urgent need. De novo drug discovery process is an expensive and time consuming task. Drug repositioning has been proposed as the approach for this issue.Identifying interaction between known drugs ...
Coelho, Guilherme Pedro Antunes Carvalhas Gabriel
openaire +2 more sources
Effective drug–target interaction prediction with mutual interaction neural network
Bioinformatics, 2022 AbstractMotivationAccurately predicting drug–target interaction (DTI) is a crucial step to drug discovery. Recently, deep learning techniques have been widely used for DTI prediction and achieved significant performance improvement. One challenge in building deep learning models for DTI prediction is how to appropriately represent drugs and targets ...
Fei Li +3 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source