Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Leishmaniasis, a major neglected tropical disease (NTD), affects millions of people globally. Current treatments are plagued by infection relapse, high toxicity, and lengthy regimens. A contemporary study investigated the 2-aminobenzimidazole scaffold for leishmanicidal activity but it was found to be associated with poor exposure and lack of efficacy in vivo. This inspired us to develop a QSAR model of leishmanicidal activity leveraging the reported in vivo leishmanicidal activity data toward Leishmania infantum. Interpretable 2D molecular descriptors were employed so that the key leishmanicidal structural features could be utilized to develop the novel molecules. The QSAR model highlighted key structural features associated with leishmanicidal activity, including hydrophobicity, aromatic ring, hydrogen bond acceptor/donor, as well as hetero-atoms (nitrogen, fluorine, etc.) that enhance activity. Various categories of drugs from DrugBank were screened using the developed QSAR model, followed by inverse docking against the putative protein targets for leishmaniasis, to identify the plausible target of the parent leads. QSAR-guided structural modifications were undertaken to generate potential analogs of the top five parent leads. The analogs were checked for their ADMET profiles, and the protein-ligand interactions stability of the top candidates (DB03231-A6 and DB12269-A4) was assessed by 300 ns molecular dynamics simulation. Free energy landscapes (FEL) of the apo and bound target receptor were constructed to further streamline the prioritized analogs. Upon cumulative retrospection, an analog of DB12269 (N-{5-[2-amino-4-fluro-7-(1-hydroxy-2-methylpropan-2-yl)-7H-pyrrolo[2,3-d]pyrimidine-5-carbonyl]-4,6-difluoropyrid-3yl}-2-(5-chloropyrazin-2-yl)acetamide) is proposed for further wet lab validation studies for prospective application against leishmaniasis.
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http://dx.doi.org/10.1007/s11030-025-11228-0 | DOI Listing |