Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105325
Title: In Silico Approaches: A Way to Unveil Novel Therapeutic Drugs for Cervical Cancer Management
Authors: Gomes, Diana
Silvestre, Samuel 
Duarte, Ana Paula 
Venuti, Aldo
Soares, Christiane P.
Passarinha, Luís
Sousa, Ângela
Keywords: cervical cancer management; computer-aided drug design; E6 inhibitors; in silico studies; human papillomavirus
Issue Date: 29-Jul-2021
Publisher: MDPI
Project: Project Centro-01-0145-FEDER-000019—C4—Centro de Competências em Cloud Computing 
UIDB/00709/2020 
UIDP/04378/2020 
UIDB/04378/2020 
doctoral fellowship from FCT ref: 2020.06792.BD 
Serial title, monograph or event: Pharmaceuticals
Volume: 14
Issue: 8
Abstract: Cervical cancer (CC) is the fourth most common pathology in women worldwide and presents a high impact in developing countries due to limited financial resources as well as difficulties in monitoring and access to health services. Human papillomavirus (HPV) is the leading cause of CC, and despite the approval of prophylactic vaccines, there is no effective treatment for patients with pre-existing infections or HPV-induced carcinomas. High-risk (HR) HPV E6 and E7 oncoproteins are considered biomarkers in CC progression. Since the E6 structure was resolved, it has been one of the most studied targets to develop novel and specific therapeutics to treat/manage CC. Therefore, several small molecules (plant-derived or synthetic compounds) have been reported as blockers/inhibitors of E6 oncoprotein action, and computational-aided methods have been of high relevance in their discovery and development. In silico approaches have become a powerful tool for reducing the time and cost of the drug development process. Thus, this review will depict small molecules that are already being explored as HR HPV E6 protein blockers and in silico approaches to the design of novel therapeutics for managing CC. Besides, future perspectives in CC therapy will be briefly discussed.
URI: https://hdl.handle.net/10316/105325
ISSN: 1424-8247
DOI: 10.3390/ph14080741
Rights: openAccess
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais

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