QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors

The serine hydrolase family includes serine proteases. It is essential for hydrolyzing protein peptide bonds and breaking them. The urokinase-type plasminogen activator (uPA) selectively binds to the uPAR on numerous cell types, including cancer cells. Pericellular proteolysis of cell-bound proteins...

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Main Authors: Jawarkar, Rahul D, Zaki, Magdi E A, Al-Hussain, Sami, Alzahrani, Abdullah Yahya Abdullah, Long, Chiau Ming *, Samad, Abdul, Ingle, Rahul G., Mali, Suraj N.
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Published: Elsevier 2024
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Online Access:http://eprints.sunway.edu.my/2611/
https://doi.org/10.1016/j.chphi.2024.100544
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spelling my.sunway.eprints.26112024-05-16T01:10:25Z http://eprints.sunway.edu.my/2611/ QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors Jawarkar, Rahul D Zaki, Magdi E A Al-Hussain, Sami Alzahrani, Abdullah Yahya Abdullah Long, Chiau Ming * Samad, Abdul Ingle, Rahul G. Mali, Suraj N. QP Physiology RM Therapeutics. Pharmacology The serine hydrolase family includes serine proteases. It is essential for hydrolyzing protein peptide bonds and breaking them. The urokinase-type plasminogen activator (uPA) selectively binds to the uPAR on numerous cell types, including cancer cells. Pericellular proteolysis of cell-bound proteins requires this interaction. High uPA and uPAR levels regularly worsen cancer prognoses. Thus, small chemical active-site inhibitors that block uPA may diminish cancer cell invasion and metastasis. In compliance with Organization for Economic Corporation and Development guidelines, this research performed a complete Quantitative structure activity relationship analysis of sulfonamide compounds as Urokinase-type Plasminogen Activator inhibitors. Py-Descriptors were used for this investigation. PyDescriptor uses PyMOL standards and idioms to calculate 11,145 simple molecular descriptors. This plugin calculates molecular descriptors irrespective of molecular representation properties like atom numbering or labelling, spatial reference frame, translational and rotational invariance, etc. The investigation sought to find essential and hidden structural characteristics that regulate sulfonamide-type drugs’ Urokinase-type Plasminogen Activator Inhibitory action. Twenty-eight sulfonamide chemicals are used in the Quantitative structure activity relationship study to generate statistically robust and highly predictive univariate and multivariate models. All models were thoroughly evaluated and meet several statistical parameter thresholds (e.g., R 2 =0.9259–0.9280, Q 2 Loo =0.8579–0.8558, Q 2 LMO =0.8013–0.7865). The analysis reveal that occurance of ring carbon atoms exactly at 3 A0 from carbon atom, number of negatively charged atoms from sulphur atoms within 5 bonds, presence of hydrogen atom exactly at 3 bonds from donar atoms, presence of carbon atom exactly at 4 A0 from donar atom, presence of acceptor atom exactly at 5 A0 from sulphur atom and sum of partial charges of lipo atoms within 6 bonds from sulphur atom are important pharmacophoric features for Urokinase- type Plasminogen Activator Inhibition binding affinity. Thus, the developed Quantitative structure activity relationship study has an equilibrium of quantitative and qualitative tactics. The results could be useful for future optimizations of sulfonamide analogues. Elsevier 2024 Article PeerReviewed Jawarkar, Rahul D and Zaki, Magdi E A and Al-Hussain, Sami and Alzahrani, Abdullah Yahya Abdullah and Long, Chiau Ming * and Samad, Abdul and Ingle, Rahul G. and Mali, Suraj N. (2024) QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors. Chemical Physics Impact, 8. ISSN 2667-0224 https://doi.org/10.1016/j.chphi.2024.100544 10.1016/j.chphi.2024.100544
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic QP Physiology
RM Therapeutics. Pharmacology
spellingShingle QP Physiology
RM Therapeutics. Pharmacology
Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami
Alzahrani, Abdullah Yahya Abdullah
Long, Chiau Ming *
Samad, Abdul
Ingle, Rahul G.
Mali, Suraj N.
QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
description The serine hydrolase family includes serine proteases. It is essential for hydrolyzing protein peptide bonds and breaking them. The urokinase-type plasminogen activator (uPA) selectively binds to the uPAR on numerous cell types, including cancer cells. Pericellular proteolysis of cell-bound proteins requires this interaction. High uPA and uPAR levels regularly worsen cancer prognoses. Thus, small chemical active-site inhibitors that block uPA may diminish cancer cell invasion and metastasis. In compliance with Organization for Economic Corporation and Development guidelines, this research performed a complete Quantitative structure activity relationship analysis of sulfonamide compounds as Urokinase-type Plasminogen Activator inhibitors. Py-Descriptors were used for this investigation. PyDescriptor uses PyMOL standards and idioms to calculate 11,145 simple molecular descriptors. This plugin calculates molecular descriptors irrespective of molecular representation properties like atom numbering or labelling, spatial reference frame, translational and rotational invariance, etc. The investigation sought to find essential and hidden structural characteristics that regulate sulfonamide-type drugs’ Urokinase-type Plasminogen Activator Inhibitory action. Twenty-eight sulfonamide chemicals are used in the Quantitative structure activity relationship study to generate statistically robust and highly predictive univariate and multivariate models. All models were thoroughly evaluated and meet several statistical parameter thresholds (e.g., R 2 =0.9259–0.9280, Q 2 Loo =0.8579–0.8558, Q 2 LMO =0.8013–0.7865). The analysis reveal that occurance of ring carbon atoms exactly at 3 A0 from carbon atom, number of negatively charged atoms from sulphur atoms within 5 bonds, presence of hydrogen atom exactly at 3 bonds from donar atoms, presence of carbon atom exactly at 4 A0 from donar atom, presence of acceptor atom exactly at 5 A0 from sulphur atom and sum of partial charges of lipo atoms within 6 bonds from sulphur atom are important pharmacophoric features for Urokinase- type Plasminogen Activator Inhibition binding affinity. Thus, the developed Quantitative structure activity relationship study has an equilibrium of quantitative and qualitative tactics. The results could be useful for future optimizations of sulfonamide analogues.
format Article
author Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami
Alzahrani, Abdullah Yahya Abdullah
Long, Chiau Ming *
Samad, Abdul
Ingle, Rahul G.
Mali, Suraj N.
author_facet Jawarkar, Rahul D
Zaki, Magdi E A
Al-Hussain, Sami
Alzahrani, Abdullah Yahya Abdullah
Long, Chiau Ming *
Samad, Abdul
Ingle, Rahul G.
Mali, Suraj N.
author_sort Jawarkar, Rahul D
title QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
title_short QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
title_full QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
title_fullStr QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
title_full_unstemmed QSAR modelling to predict structural features of certain sulfonamide as Urokinase-type Plasminogen Activator inhibitors
title_sort qsar modelling to predict structural features of certain sulfonamide as urokinase-type plasminogen activator inhibitors
publisher Elsevier
publishDate 2024
url http://eprints.sunway.edu.my/2611/
https://doi.org/10.1016/j.chphi.2024.100544
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