Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903497014> ?p ?o ?g. }
- W2903497014 endingPage "97" @default.
- W2903497014 startingPage "89" @default.
- W2903497014 abstract "New therapeutic strategies against leishmaniasis are desirable, since the treatment against disease presents problems, such as the toxicity, high cost and/or parasite resistance. As consequence, new antileishmanial compounds are necessary to be identified, as presenting high activity against Leishmania, but low toxicity in mammalian hosts. In the present study, a Leishmania proteome mining strategy was developed, in order to select new drug targets with low homology to human proteins, but that are considered relevant for the parasite' survival. Results showed a hypothetical protein, which was functionally annotated as a glucosidase-like protein, as presenting such characteristics. This protein was associated with the metabolic network of the N-Glycan biosynthesis pathway in Leishmania, and two specific inhibitors – acarbose and miglitol – were predicted to be potential targets against it. In this context, miglitol [1-(2-Hydroxyethyl)-2-(hydroxymethyl)piperidine-3,4,5-triol] was tested against stationary promastigotes and axenic amastigotes of the Leishmania amazonensis and L. infantum species, and results showed high values of antileishmanial inhibition against both parasite species. Miglitol showed also efficacy in the treatment of Leishmania-infected macrophages; thus denoting its potential use as an antileishmanial candidate. In conclusion, this work presents a new drug target identified by a proteome mining strategy associated with bioinformatics tools, and suggested its use as a possible candidate to be applied in the treatment against disease." @default.
- W2903497014 created "2018-12-11" @default.
- W2903497014 creator A5016071652 @default.
- W2903497014 creator A5019514265 @default.
- W2903497014 creator A5053334173 @default.
- W2903497014 creator A5062071191 @default.
- W2903497014 creator A5066021388 @default.
- W2903497014 creator A5067888096 @default.
- W2903497014 creator A5070084843 @default.
- W2903497014 creator A5072160302 @default.
- W2903497014 creator A5073176841 @default.
- W2903497014 creator A5076724761 @default.
- W2903497014 date "2019-03-01" @default.
- W2903497014 modified "2023-10-08" @default.
- W2903497014 title "In silico Leishmania proteome mining applied to identify drug target potential to be used to treat against visceral and tegumentary leishmaniasis" @default.
- W2903497014 cites W128376936 @default.
- W2903497014 cites W1502830780 @default.
- W2903497014 cites W1536270671 @default.
- W2903497014 cites W1958024510 @default.
- W2903497014 cites W1963542761 @default.
- W2903497014 cites W1970393817 @default.
- W2903497014 cites W1978796363 @default.
- W2903497014 cites W1981620631 @default.
- W2903497014 cites W1983698816 @default.
- W2903497014 cites W1983956209 @default.
- W2903497014 cites W1987134040 @default.
- W2903497014 cites W1989228404 @default.
- W2903497014 cites W1989306682 @default.
- W2903497014 cites W1995530145 @default.
- W2903497014 cites W2002861077 @default.
- W2903497014 cites W2005091331 @default.
- W2903497014 cites W2007844108 @default.
- W2903497014 cites W2010211659 @default.
- W2903497014 cites W2015620110 @default.
- W2903497014 cites W2022012591 @default.
- W2903497014 cites W2023038453 @default.
- W2903497014 cites W2027482274 @default.
- W2903497014 cites W2038879948 @default.
- W2903497014 cites W2043548902 @default.
- W2903497014 cites W2045497755 @default.
- W2903497014 cites W2054881085 @default.
- W2903497014 cites W2055043387 @default.
- W2903497014 cites W2064447696 @default.
- W2903497014 cites W2067471800 @default.
- W2903497014 cites W2068215182 @default.
- W2903497014 cites W2075828031 @default.
- W2903497014 cites W2082399236 @default.
- W2903497014 cites W2082667898 @default.
- W2903497014 cites W2084208767 @default.
- W2903497014 cites W2086208209 @default.
- W2903497014 cites W2092793728 @default.
- W2903497014 cites W2096173332 @default.
- W2903497014 cites W2097402736 @default.
- W2903497014 cites W2101078720 @default.
- W2903497014 cites W2107915297 @default.
- W2903497014 cites W2108968943 @default.
- W2903497014 cites W2113140044 @default.
- W2903497014 cites W2117905193 @default.
- W2903497014 cites W2122516779 @default.
- W2903497014 cites W2128199503 @default.
- W2903497014 cites W2128279790 @default.
- W2903497014 cites W2131206903 @default.
- W2903497014 cites W2132629607 @default.
- W2903497014 cites W2132901471 @default.
- W2903497014 cites W2145904172 @default.
- W2903497014 cites W2151770702 @default.
- W2903497014 cites W2152905639 @default.
- W2903497014 cites W2156379063 @default.
- W2903497014 cites W2161446794 @default.
- W2903497014 cites W2163022923 @default.
- W2903497014 cites W2163816950 @default.
- W2903497014 cites W2165015670 @default.
- W2903497014 cites W2166637863 @default.
- W2903497014 cites W2170302951 @default.
- W2903497014 cites W2177317049 @default.
- W2903497014 cites W2243664103 @default.
- W2903497014 cites W2288766329 @default.
- W2903497014 cites W2343212594 @default.
- W2903497014 cites W2413926088 @default.
- W2903497014 cites W2527038151 @default.
- W2903497014 cites W2596180243 @default.
- W2903497014 cites W2605974168 @default.
- W2903497014 cites W2610396252 @default.
- W2903497014 cites W2612436700 @default.
- W2903497014 cites W2612794942 @default.
- W2903497014 cites W2623137855 @default.
- W2903497014 cites W2767891136 @default.
- W2903497014 cites W2782299417 @default.
- W2903497014 cites W2782413694 @default.
- W2903497014 cites W2785812987 @default.
- W2903497014 cites W2794495999 @default.
- W2903497014 cites W2801532944 @default.
- W2903497014 doi "https://doi.org/10.1016/j.jmgm.2018.11.014" @default.
- W2903497014 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30522092" @default.
- W2903497014 hasPublicationYear "2019" @default.
- W2903497014 type Work @default.
- W2903497014 sameAs 2903497014 @default.
- W2903497014 citedByCount "13" @default.