Results 131 to 140 of about 2,729,950 (336)

Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space

open access: yesScientific Reports, 2017
Many computational methods to predict the macromolecular targets of small organic molecules have been presented to date. Despite progress, target prediction methods still have important limitations.
Antonio Peón   +2 more
doaj   +1 more source

Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model

open access: yesbioRxiv, 2020
The infection of a novel coronavirus found in Wuhan of China (2019-nCoV) is rapidly spreading, and the incidence rate is increasing worldwide. Due to the lack of effective treatment options for 2019-nCoV, various strategies are being tested in China ...
B. Beck   +4 more
semanticscholar   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

open access: yesMolecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang   +8 more
wiley   +1 more source

Clinical applications of pharmacogenomics [PDF]

open access: yes, 2017
Indexación: Scopus.Pharmacogenomics is an emergent field aimed at tailoring pharmacological therapy. Genetic polymorphisms can modify the expression and function of enzymes and proteins involved in drug metabolism, affecting absorption, distribution ...
Cayún, J.P.   +9 more
core   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

A Multi-Label Learning Framework for Drug Repurposing

open access: yesPharmaceutics, 2019
Drug repurposing plays an important role in screening old drugs for new therapeutic efficacy. The existing methods commonly treat prediction of drug-target interaction as a problem of binary classification, in which a large number of randomly sampled ...
Suyu Mei, Kun Zhang
doaj   +1 more source

Calmodulin in Complex with Proteins and Small Molecule Ligands: Operating with the Element of Surprise. Implications for Structure-Based Drug Design [PDF]

open access: yes, 2009
Calmodulin plays a role in several life processes, its flexibility allows binding of a number of different ligands from small molecules to amphiphilic peptide helices and proteins. Through the diversity of its functions, it is quite difficult to find new
Keserű, György Miklós   +2 more
core  

Interrogating fragments using a protein thermal shift assay [PDF]

open access: yes, 2013
Protein thermal shift is a relatively rapid and inexpensive technique for the identification of low molecular weight compound interactions with protein targets. An increase in the melting temperature of the target protein in the presence of a test ligand
Martin, Jennifer L.   +2 more
core   +1 more source

Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization

open access: yesJournal of Chemical Information and Modeling, 2013
Quantitative analysis of known drug-target interactions emerged in recent years as a useful approach for drug repurposing and assessing side effects. In the present study, we present a method that uses probabilistic matrix factorization (PMF) for this purpose, which is particularly useful for analyzing large interaction networks.
Cobanoglu, Murat Can   +4 more
openaire   +2 more sources

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