A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Optimization of antimalarial activity of synthetic prodiginines: QSAR, GUSAR, and CoMFA analyses. | LitMetric

AI Article Synopsis

  • The study focused on analyzing synthetic prodiginines that showed effectiveness against Plasmodium falciparum using different modeling approaches, including General Unrestricted Structure-Activity Relationships (GUSAR) and 3D-Quantitative Structure-Activity Relationships (QSAR).
  • The best-performing 3D-QSAR model achieved high statistical values (R(2) = 0.924 and R(2)(pred) = 0.901), indicating a strong correlation between the chemical structure and biological activity.
  • The findings highlighted that certain structural elements, like fluorine on the aromatic ring, and factors such as lipophilicity are key in enhancing the activity of these compounds.

Article Abstract

In the present study, we have carried out extensive General Unrestricted Structure-Activity Relationships, conventional 3D-Quantitative Structure-Activity Relationships, and CoMFA analyses of synthetic prodiginines displaying moderate to high activities against Plasmodium Falciperum. 2D and 3D descriptors, various statistical parameters viz. R(2), R(2)(adj), standard error, Y-randomization, etc., were checked to build fruitful 3D-Quantitative Structure-Activity Relationships model. The best five parametric 3D-Quantitative Structure-Activity Relationships model is with R(2) = 0.924 and R(2)(pred) = 0.901. CoMFA was performed to check the electrostatic and steric regions, which affect the activity. The CoMFA model is graphically inferred using contour plots, which provide insight into the structural requirements for increasing the activity of a compound. The General Unrestricted Structure-Activity Relationships model, with R(2) = 0.940 and Q(2) = 0.912, suggests that the presence of F on aromatic ring is good for activity. The analyses reveal that lipophilicity plays a crucial role in deciding the activity for these molecules.

Download full-text PDF

Source
http://dx.doi.org/10.1111/cbdd.12099DOI Listing

Publication Analysis

Top Keywords

structure-activity relationships
20
3d-quantitative structure-activity
12
relationships model
12
synthetic prodiginines
8
comfa analyses
8
general unrestricted
8
unrestricted structure-activity
8
activity
5
structure-activity
5
relationships
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!