Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Maria A. Miteva"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2548-2564 (2024)
P-glycoprotein (P-gp) plays a crucial role in cellular detoxification and drug efflux processes, transitioning between inward-facing (IF) open, occluded, and outward-facing (OF) states to facilitate substrate transport. Its role is critical in cancer
Externí odkaz:
https://doaj.org/article/a89cc4aff34b495182c4b60c28beb7de
Publikováno v:
ACS Omega, Vol 9, Iss 40, Pp 41334-41342 (2024)
Externí odkaz:
https://doaj.org/article/35824a8215cd4781ad43e4591d1c2b40
Autor:
Desislav G. Tomov, Boryana A. Levterova, Valentina N. Mihailova, Dimitar M. Troev, Maria Z. Miteva, Yordanka I. Uzunova, Maria M. Orbetzova
Publikováno v:
Endocrine and Metabolic Science, Vol 16, Iss , Pp 100195- (2024)
The etiology of Hashimoto's thyroiditis is still unclear. Genetic predisposition and the effects of various environmental factors are discussed. The present article is a systematic review of publications on the occurrence and development of this dise
Externí odkaz:
https://doaj.org/article/deb0b170537f4851ade43071df574b1b
Autor:
Desislav G. Tomov, Boryana A. Levterova, Dimitar M. Troev, Maria Z. Miteva, Valentina N. Mihaylova, Yordanka I. Uzunova, Vidka V. Divarova, Maria M. Orbetzova
Publikováno v:
Folia Medica, Vol 65, Iss 2, Pp 199-206 (2023)
Introduction: Adipose tissue is immunologically and hormonally active, and these effects are mediated largely by adipocytokines. Thyroid hormones regulate metabolism and organ function, and Hashimoto’s thyroiditis (HT) is the most common autoimmune
Externí odkaz:
https://doaj.org/article/12414e2507d5406d85336557f52719c7
Publikováno v:
iScience, Vol 25, Iss 11, Pp 105290- (2022)
Summary: UDP-glucuronosyltransferases (UGTs) are responsible for 35% of the phase II drug metabolism. In this study, we focused on UGT1A1, which is a key UGT isoform. Strong inhibition of UGT1A1 may trigger adverse drug/herb-drug interactions, or res
Externí odkaz:
https://doaj.org/article/b3dedb5de0b24146a94f7f346687dc57
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Sulfotransferases (SULTs) are phase II drug-metabolizing enzymes catalyzing the sulfoconjugation from the co-factor 3′-phosphoadenosine 5′-phosphosulfate (PAPS) to a substrate. It has been previously suggested that a considerable shift o
Externí odkaz:
https://doaj.org/article/ece2219aba824e04a7c747cf0ec901a5
Autor:
Isabella A. Guedes, André M. S. Barreto, Diogo Marinho, Eduardo Krempser, Mélaine A. Kuenemann, Olivier Sperandio, Laurent E. Dardenne, Maria A. Miteva
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract Scoring functions are essential for modern in silico drug discovery. However, the accurate prediction of binding affinity by scoring functions remains a challenging task. The performance of scoring functions is very heterogeneous across diff
Externí odkaz:
https://doaj.org/article/864f5a4a8d6545a5a092b4189c6f4888
Autor:
Maria A, Miteva
Computer-aided drug design and in silico screening have contributed to the discovery of several compounds that have either reached the market or entered clinical trials. In silico Lead Discovery is a compilation of the efforts of several experts on b
Autor:
Elodie Goldwaser, Catherine Laurent, Nathalie Lagarde, Sylvie Fabrega, Laure Nay, Bruno O Villoutreix, Christian Jelsch, Arnaud B Nicot, Marie-Anne Loriot, Maria A Miteva
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009820 (2022)
Cytochrome P450 2C9 (CYP2C9) is a major drug-metabolizing enzyme that represents 20% of the hepatic CYPs and is responsible for the metabolism of 15% of drugs. A general concern in drug discovery is to avoid the inhibition of CYP leading to toxic dru
Externí odkaz:
https://doaj.org/article/676c54c1293346ed92495073dc34d425
Autor:
Aram Gyulkhandanyan, Alireza R. Rezaie, Lubka Roumenina, Nathalie Lagarde, Veronique Fremeaux‐Bacchi, Maria A. Miteva, Bruno O. Villoutreix
Publikováno v:
Molecular Genetics & Genomic Medicine, Vol 8, Iss 4, Pp n/a-n/a (2020)
Abstract Background Different types of in silico approaches can be used to predict the phenotypic consequence of missense variants. Such algorithms are often categorized as sequence based or structure based, when they necessitate 3D structural inform
Externí odkaz:
https://doaj.org/article/600b4f286a21496d8eb8dd6dc8fa9ec1