Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.compbiolchem.2019.01.009 |
In silico identification and evaluation of new Trypanosoma cruzi trypanothione reductase (TcTR) inhibitors obtained from natural products database of the Bahia semi-arid region (NatProDB) | |
da Paixao, Vinicius Guimaraes; da Rocha Pita, Samuel Silva | |
通讯作者 | da Rocha Pita, Samuel Silva |
来源期刊 | COMPUTATIONAL BIOLOGY AND CHEMISTRY
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ISSN | 1476-9271 |
EISSN | 1476-928X |
出版年 | 2019 |
卷号 | 79页码:36-47 |
英文摘要 | Trypanosoma cruzi Trypanothione Reductase (TcTR) is one of the therapeutic targets studied in the development of new drugs against Chagas' disease. Due to its biodiversity, Brazil has several compounds of natural origin that were not yet properly explored in drug discovery. Therefore, we employed the Virtual Screening against TcTR aiming to discover new inhibitors from the Natural Products Database of the Bahia Semi-Arid region (NatProDB). This database has a wide chemical diversity favoring the discovery of new chemical entities. Subsequently, we analyzed the best docking conformations using self-organizing maps (AuPosSOM) aiming to verify their interaction sites at TcTR. Finally, the Pred-hERG, the Aggregator Advisor, the FAF-DRUGS and the pkCSM results allowed us to evaluate, respectively, the cardiotoxicity, aggregation capacity, presence of false positives (PAINS) and its toxicity. Thus, we selected three molecules that could be tested in in vitro assays in the hope that the computational results reported here would favor the development of new anti-chagasic drugs. |
英文关键词 | Chagas' disease Trypanothione reductase Enzyme inhibitors Virtual screening NatProdDB AuPosSOM Pred-Herg Aggregator advisor PAINS pKCSM |
类型 | Article |
语种 | 英语 |
国家 | Brazil |
收录类别 | SCI-E |
WOS记录号 | WOS:000463124100005 |
WOS关键词 | VIRTUAL SCREENING APPROACH ; LEISHMANIA-DONOVANI ; SENSITIVITY ; EXPRESSION ; DISCOVERY ; DRUGS ; GENE ; SITE |
WOS类目 | Biology ; Computer Science, Interdisciplinary Applications |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Computer Science |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/214960 |
作者单位 | Univ Fed Bahia, Fac Farm, Lab Bioinformat Modelagem Mol LaBiMM, Av Barao Jeremoabo 147, BR-40170115 Salvador, BA, Brazil |
推荐引用方式 GB/T 7714 | da Paixao, Vinicius Guimaraes,da Rocha Pita, Samuel Silva. In silico identification and evaluation of new Trypanosoma cruzi trypanothione reductase (TcTR) inhibitors obtained from natural products database of the Bahia semi-arid region (NatProDB)[J],2019,79:36-47. |
APA | da Paixao, Vinicius Guimaraes,&da Rocha Pita, Samuel Silva.(2019).In silico identification and evaluation of new Trypanosoma cruzi trypanothione reductase (TcTR) inhibitors obtained from natural products database of the Bahia semi-arid region (NatProDB).COMPUTATIONAL BIOLOGY AND CHEMISTRY,79,36-47. |
MLA | da Paixao, Vinicius Guimaraes,et al."In silico identification and evaluation of new Trypanosoma cruzi trypanothione reductase (TcTR) inhibitors obtained from natural products database of the Bahia semi-arid region (NatProDB)".COMPUTATIONAL BIOLOGY AND CHEMISTRY 79(2019):36-47. |
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