QSAR modelling: a therapeutic patent review 2010-present

• Type: Another Publication in an International Scientific Journal
• Date: 2018

Authors

Halder, AK (Author) Other; Moura, AS (Author) Other; Natalia N D S Cordeiro (Author) FCUP

Journal

Title: Expert Opinion on Therapeutic Patents

Vol. 28

Pages: 467-476

ISSN: 1354-3776

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 17 Citations

Scopus - 18 Citations

Other information

Authenticus ID: P-00Q-D6X

DOI: 10.1080/13543776.2018.1475560

Abstract (EN): Introduction: Quantitative Structure-Activity Relationship (QSAR) models are becoming one of the most interesting fields for developing therapeutics and therapeutics related patents. At present, QSAR methodologies comprise a series of possibilities, including joining forces with machine learning methods and increasing even more the swiftness they might bring to the prospective development of therapeutics in the Health Sciences scope. Areas covered: After evaluating the period from 2010 to early 2018, the areas covered by the reviewed QSAR based therapeutics patents comprise three main fields (drug development, risk assessment and novel QSAR methodologies), and several areas, from cancer and cancer related symptomatology to neurodegenerative diseases, such as Parkinson's disease, or even monitoring several chemical particles carrier-mediums or interface frontiers. Expert opinion: Among the several conclusions drawn from this reviewing, some pertain to the near future of investigative research on QSAR based inventions for therapeutic purposes, while others include the prospective of an even more grown interest on cytotoxicity assessment with in silico models and protocols. Further, the type of compounds described in these types of patents is likely to see an increase in neurodegenerative diseases therapeutics, as the novel methodologies meet the challenging global health needs as human life expectancy increases.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10