Results 71 to 80 of about 2,006,164 (309)

Measuring drug similarity using drug–drug interactions

open access: yesQuantitative Biology
Combination therapy is a promising approach to address the challenge of antimicrobial resistance, and computational models have been proposed for predicting drug–drug interactions.
Ji Lv   +4 more
doaj   +1 more source

Associated factors of potential drug-drug interactions and drug–food interactions in patients with multiple sclerosis

open access: yesTherapeutic Advances in Chronic Disease, 2022
Background: Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs)
Jane Louisa Debus   +9 more
doaj   +1 more source

Maternal Drug Addiction: Influences on mother-child relationship and on early child development. [PDF]

open access: yes, 2016
Much literature has pointed out parental drug addiction as a risk factor at multiple levels for the dyad, affecting parenting quality, child development and more globally the adult-child relationship.
DE PALO, Francesca   +2 more
core  

Pharmacokinetic Herb-Drug Interactions: Insight into Mechanisms and Consequences [PDF]

open access: yes, 2015
Herbal medicines are currently in high demand, and their popularity is steadily increasing. Because of their perceived effectiveness, fewer side effects and relatively low cost, they are being used for the management of numerous medical conditions ...
Horie, Toshiharu   +3 more
core   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

open access: yesFEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

DeepDrug: A general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction

open access: yesQuantitative Biology, 2023
Computational methods for DDIs and DTIs prediction are essential for accelerating the drug discovery process. We proposed a novel deep learning method DeepDrug, to tackle these two problems within a unified framework.
Qijin Yin   +5 more
doaj   +1 more source

Protein Functional Families to characterise drug-target interactions. [PDF]

open access: yes, 2017
The quest for “magic bullets” has been the driving force in drug discovery during the last two decades. However, the increasing rate of drug failure over this period has occurred concurrently with the assumption that a drug is a selective ligand for a ...
Moya-García, Aurelio
core  

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

open access: yesFEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva   +10 more
wiley   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

open access: yesFEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan   +5 more
wiley   +1 more source

Evaluation of resources for analyzing drug interactions

open access: yesJournal of the Medical Library Association, 2017
Objective: The research sought to evaluate seven drug information resources, specifically designed for analyzing drug interactions for scope, completeness, and ease of use, and determine the consistency of content among the seven resources.
Risha I. Patel, Robert D. Beckett
doaj   +1 more source

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