[HTML][HTML] Drug design by pharmacophore and virtual screening approach
D Giordano, C Biancaniello, MA Argenio, A Facchiano - Pharmaceuticals, 2022 - mdpi.com
Computer-aided drug discovery techniques reduce the time and the costs needed to
develop novel drugs. Their relevance becomes more and more evident with the needs due …
develop novel drugs. Their relevance becomes more and more evident with the needs due …
The recent developments of camptothecin and its derivatives as potential anti-tumor agents
X Wang, Y Zhuang, Y Wang, M Jiang, L Yao - European Journal of …, 2023 - Elsevier
This review article focuses on the research progress made in the structural modifications of
camptothecin (CPT), a potent cytotoxic natural alkaloid. CPT possesses a unique 5-fused …
camptothecin (CPT), a potent cytotoxic natural alkaloid. CPT possesses a unique 5-fused …
Topoisomerase I inhibitors: Challenges, progress and the road ahead
A Talukdar, B Kundu, D Sarkar, S Goon… - European Journal of …, 2022 - Elsevier
Abstract Topoisomerase IB (Top1), a subcategory of DNA topoisomerase enzymes is
expressed much higher in several tumor cells. Therefore, modulating the activity of Top1 in …
expressed much higher in several tumor cells. Therefore, modulating the activity of Top1 in …
Yes SIR! On the structure–inactivity relationships in drug discovery
E López-López, E Fernández-de Gortari… - Drug Discovery …, 2022 - Elsevier
Highlights•Inactivity data is helpful.•Structure-Inactivity Relationships (SIRs) are valuable in
drug discovery.•Machine and deep learning benefit from SIRs.•The inactivity data gap in the …
drug discovery.•Machine and deep learning benefit from SIRs.•The inactivity data gap in the …
[HTML][HTML] Applications of virtual screening in bioprospecting: facts, shifts, and perspectives to explore the chemo-structural diversity of natural products
Natural products are continually explored in the development of new bioactive compounds
with industrial applications, attracting the attention of scientific research efforts due to their …
with industrial applications, attracting the attention of scientific research efforts due to their …
Machine learning and artificial intelligence: a paradigm shift in big data-driven drug design and discovery
P Pasrija, P Jha, P Upadhyaya… - Current Topics in …, 2022 - benthamdirect.com
Background: The lengthy and expensive process of developing a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …
many years and entails a significant financial burden due to its poor success rate …
Development of novel bosentan analogues as endothelin receptor antagonists for pulmonary arterial hypertension
Since decades, bosentan has been in use for the treatment of pulmonary arterial
hypertension (PAH). However, chronic exposure to bosentan leads to the development of …
hypertension (PAH). However, chronic exposure to bosentan leads to the development of …
Updates on drug designing approach through computational strategies: a review
The drug discovery and development (DDD) process in pursuit of novel drug candidates is a
challenging procedure requiring lots of time and resources. Therefore, computer-aided drug …
challenging procedure requiring lots of time and resources. Therefore, computer-aided drug …
Identification of novel natural inhibitors targeting AKT Serine/Threonine Kinase 1 (AKT1) by computational study
Despite great progress, the current cancer treatments often have obvious toxicity and side
effects. and a poor prognosis (some patients). One of the reasons for the poor prognosis is …
effects. and a poor prognosis (some patients). One of the reasons for the poor prognosis is …
High-throughput virtual screening approach of natural compounds as target inhibitors of plasmepsin-II
Plasmepsin II is a key enzyme in the life cycle of the Plasmodium falciparum parasite
responsible for malaria, a disease that is causing deaths on a worldwide scale. Recently …
responsible for malaria, a disease that is causing deaths on a worldwide scale. Recently …