Results 31 to 40 of about 709,328 (257)

Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles [PDF]

Database, 2018
Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound-target interaction profiles. End users can search, upload, edit, annotate and export expert-curated bioactivity data for further analysis, using an ...
ZiaurRehman Tanoli, Zaid Alam, Markus Vähä-Koskela, Balaguru Ravikumar, Alina Malyutina, Alok Jaiswal, Jing Tang 0002, Krister Wennerberg, Tero Aittokallio   +8 more
openaire   +6 more sources

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions [PDF]

Cell Chemical Biology, 2018
Knowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity data resources are often incomparable due to non-standardized and heterogeneous assay types and ...
Tang, Jing, Tanoli, Zia-ur-Rehman, Ravikumar, Balaguru, Alam, Zaid, Rebane, Anni, Vähä-Koskela, Markus, Peddinti, Gopal, van Adrichem, Arjan J., Wakkinen, Janica, Jaiswal, Alok, Karjalainen, Ella, Gautam, Prson, He, Liye, Parri, Elina, Khan, Suleiman, Gupta, Abhishekh, Ali, Mehreen, Yetukuri, Laxman, Gustavsson, Anna-Lena, Seashore-Ludlow, Brinton, Hersey, Anne, Leach, Andrew R., Overington, John P., Repasky, Gretchen, Wennerberg, Krister, Aittokallio, Tero   +25 more
openaire   +4 more sources

Toward more realistic drug-target interaction predictions [PDF]

Briefings in Bioinformatics, 2014
A number of supervised machine learning models have recently been introduced for the prediction of drug-target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning of drugs for new therapeutic uses, the prediction ...
Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang 0002, Tero Aittokallio   +6 more
openaire   +2 more sources

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. [PDF]

PLoS Computational Biology, 2016
In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation ...
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiao-Li Li   +4 more
doaj   +1 more source

Drug–target interaction prediction using knowledge graph embedding

iScience
Summary: The prediction of drug-target interactions (DTIs) is a critical phase in the sustainable drug development process, especially when the research focus is to capitalize on the repositioning of existing drugs. Computational approaches to predicting
Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin   +3 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science
Drug molecular interactions, including drug–drug interactions (DDIs) and drug–target interactions (DTIs), are critical for drug discovery and clinical safety, increasingly propelled by artificial intelligence (AI) technologies.
Xin Sun, Tong Wang
doaj   +1 more source

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, Yu-An Huang, Zhu-Hong You, Li-Ping Li, Zheng Wang   +4 more
doaj   +1 more source

LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods

Frontiers in Genetics, 2023
Introduction: Drug-target interaction (DTI) prediction is a key step in drug function discovery and repositioning. The emergence of large-scale heterogeneous biological networks provides an opportunity to identify drug-related target genes, which led to ...
Jianwei Li, Jianwei Li, Yinfei Wang, Zhiguang Li, Hongxin Lin, Baoqin Wu   +5 more
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source