Results 61 to 70 of about 2,729,950 (336)

ERP evidence suggests executive dysfunction in ecstasy polydrug users [PDF]

, 2013
Background: Deficits in executive functions such as access to semantic/long-term memory have been shown in ecstasy users in previous research. Equally, there have been many reports of equivocal findings in this area.
A Gamma, A Miyake, A Pazos, AC Parrott, AG Verstraete, AJ Saykin, AP Burgess, B Kopp, C Casco, C Montgomery, C Montgomery, C Montgomery, C Montgomery, C Montgomery, C Whitney, C. A. Roberts, C. Montgomery, D Badre, D Davison, DE Hinkle, DM McDowell, DT Stuss, E Jefferies, EM Bekker, F. Tames, G Jager, G Kanayama, HC Fox, J Cole, J. E. Fisk, JA Horne, JE Fisk, JH Halpern, JR Folstein, M Terman, MA Wetherell, MJ Morgan, N Yeung, PN Murphy, RL Carhart-Harris, RM Ruff, RM Shiffrin, S Bhattachary, S Mejias, S Nieuwenhuis, S Rossi, S Sola de, S Suwazono, S. H. Fairclough, SJ Luck, SL Rosell, T Akerstedt, V Veen van, W Ritter   +53 more
core   +1 more source

Exploring drug-target interaction networks of illicit drugs [PDF]

BMC Genomics, 2013
Drug addiction is a complex and chronic mental disease, which places a large burden on the American healthcare system due to its negative effects on patients and their families. Recently, network pharmacology is emerging as a promising approach to drug discovery by integrating network biology and polypharmacology, allowing for a deeper understanding of
Atreya, Ravi V, Sun, Jingchun, Zhao, Zhongming   +2 more
openaire   +2 more sources

SuperTarget goes quantitative: update on drug-target interactions

Nucleic Acids Research, 2011
There are at least two good reasons for the on-going interest in drug-target interactions: first, drug-effects can only be fully understood by considering a complex network of interactions to multiple targets (so-called off-target effects) including metabolic and signaling pathways; second, it is crucial to consider drug-target-pathway relations for ...
Hecker, Nikolai, Ahmed, Jessica, von Eichborn, Joachim, Dunkel, Mathias, Macha, Karel, Eckert, Andreas, Gilson, Michael K., Bourne, Philip E., Preissner, Robert   +8 more
openaire   +2 more sources

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

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

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

An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm

, 2012
The present work provides a new approach to evolve ligand structures which represent possible drug to be docked to the active site of the target protein. The structure is represented as a tree where each non-empty node represents a functional group.
Chowdhury, Arkabandhu, Ghosh, Arnab, Ghosh, Avishek, Hazra, Jubin   +3 more
core   +1 more source

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
core   +2 more sources

Prediction of drug–target interaction networks from the integration of chemical and genomic spaces

Intelligent Systems in Molecular Biology, 2008
Motivation: The identification of interactions between drugs and target proteins is a key area in genomic drug discovery. Therefore, there is a strong incentive to develop new methods capable of detecting these potential drug–target interactions ...
Yoshihiro Yamanishi, M. Araki, Alex Gutteridge, Wataru Honda, M. Kanehisa   +4 more
semanticscholar   +1 more source

BalestraWeb: efficient online evaluation of drug–target interactions [PDF]

Bioinformatics, 2014
Abstract Summary: BalestraWeb is an online server that allows users to instantly make predictions about the potential occurrence of interactions between any given drug–target pair, or predict the most likely interaction partners of any drug or target listed in the DrugBank.
Cobanoglu, Murat Can, Oltvai, Zoltán N., Taylor, D. Lansing, Bahar, Ivet   +3 more
openaire   +2 more sources