Sulfonamide Derivatives as Potent VEGFR-2 Inhibitors: Advances and Therapeutic Perspectives: A Comprehensive Review

The master of angiogenesis, vascular endothelial growth factor receptor 2 (VEGFR-2), is a prime target for anticancer drug development. Sulfonamide derivatives have been shown to be extremely versatile scaffolds as they possess favorable physicochemical properties and are pharmacologically easily accessible among the variety of backbones employed for VEGFR-2 inhibition. Here we review on VEGFR2-targetable sulfonamide derivatives with respect to their structural requirement, binding mode and pharmacological significance. In the last section computational methods like QSAR modeling, graph-based docking and future quantum computation have been presented which contribute toward speeding up rational drug design. On one hand, hydrogen bond strengthening and π-π stacking in combination with electronic delocalization have been reported to tune the protein-ligand interaction profile 96, whereas on the other hand nanotechnology enabled delivery system (e.g., mesoporous silica NPs with bio-molecular capping) provide a promising platform to promote solubility, selection and site-specific release. The way to high selectivity, resistance bypassing and environmental bioavailability is still long but nanotechnology and quantum simulation provided with an interdisciplinary designing approach show great capacity for innovation. Collectively, sulfonamide derivatives are an interesting class of a next-generation antiangiogenic drugs with a high potential for cancer therapy and personalized medicine.

Authors

Publication Details

Journal
Cognizance Journal of Multidisciplinary Studies
Published
2025-10-13
DOI
https://doi.org/10.47760/cognizance.2025.v05i10.012
Primary Topic
Angiogenesis and VEGF in Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sulfonamide Derivatives as Potent VEGFR-2 Inhibitors: Advances and Therapeutic Perspectives: A Comprehensive Review

Yahiya Ibrahim Yahiya, Jawad Kadhim Alshams, Ali Jabbar Radhi, Hasanain A.H. Al-Hadrawi
Cognizance Journal of Multidisciplinary Studies
Angiogenesis and VEGF in Cancer
article

Sulfonamide Derivatives as Potent VEGFR-2 Inhibitors: Advances and Therapeutic Perspectives: A Comprehensive Review

Yahiya Ibrahim Yahiya, Jawad Kadhim Alshams, Ali Jabbar Radhi, Hasanain A.H. Al-Hadrawi
article en

Abstract

The master of angiogenesis, vascular endothelial growth factor receptor 2 (VEGFR-2), is a prime target for anticancer drug development. Sulfonamide derivatives have been shown to be extremely versatile scaffolds as they possess favorable physicochemical properties and are pharmacologically easily accessible among the variety of backbones employed for VEGFR-2 inhibition. Here we review on VEGFR2-targetable sulfonamide derivatives with respect to their structural requirement, binding mode and pharmacological significance. In the last section computational methods like QSAR modeling, graph-based docking and future quantum computation have been presented which contribute toward speeding up rational drug design. On one hand, hydrogen bond strengthening and π-π stacking in combination with electronic delocalization have been reported to tune the protein-ligand interaction profile 96, whereas on the other hand nanotechnology enabled delivery system (e.g., mesoporous silica NPs with bio-molecular capping) provide a promising platform to promote solubility, selection and site-specific release. The way to high selectivity, resistance bypassing and environmental bioavailability is still long but nanotechnology and quantum simulation provided with an interdisciplinary designing approach show great capacity for innovation. Collectively, sulfonamide derivatives are an interesting class of a next-generation antiangiogenic drugs with a high potential for cancer therapy and personalized medicine.

Cognizance Journal of Multidisciplinary StudiesVol. 5(10)
Openalex Percentile: Top 74%
Angiogenesis and VEGF in Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.