Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Machine learning for synergistic network pharmacology: a comprehensive overview

F Noor, M Asif, UA Ashfaq, M Qasim… - Briefings in …, 2023 - academic.oup.com
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …

Recent advances of chroman-4-one derivatives: synthetic approaches and bioactivities

S Emami, Z Ghanbarimasir - European Journal of Medicinal Chemistry, 2015 - Elsevier
Chroman-4-one scaffold is a privileged structure in heterocyclic chemistry and drug
discovery. Also, chroman-4-ones are important intermediates and interesting building blocks …

An overview of azoles targeting sterol 14α-demethylase for antileishmanial therapy

S Emami, P Tavangar, M Keighobadi - European journal of medicinal …, 2017 - Elsevier
The azole antifungal drugs are an important class of chemotherapeutic agents with broad-
spectrum of activity against yeasts and filamentous fungi, act in the ergosterol biosynthetic …

Chromanone-A prerogative therapeutic scaffold: an overview

S Kamboj, R Singh - Arabian journal for science and engineering, 2022 - Springer
Chromanone or Chroman-4-one is the most important and interesting heterobicyclic
compound and acts as a building block in medicinal chemistry for isolation, designing and …

Therapeutic use of Guggulsterone in COVID-19 induced obesity (COVIBESITY) and significant role in immunomodulatory effect

L Preethi, N Ganamurali, D Dhanasekaran… - Obesity Medicine, 2021 - Elsevier
COVID-19 has emerged as a major cause of health crisis around the world. Psychosocial,
Behavioral and metabolic changes especially weight gain, among variety of population was …

[HTML][HTML] In silico and pharmacokinetic assessment of echinocystic acid effectiveness in Alzheimer's disease like pathology

A Singh, C Vellapandian - Future Science OA, 2024 - ncbi.nlm.nih.gov
Aim: Alzheimer's disease causes dementia which impairs the cognitive domains.
Methodology: The pharmacokinetic characteristics and biological activity of echinocystic …

Immunoinformatics and Molecular Docking Studies Predicted Potential Multiepitope‐Based Peptide Vaccine and Novel Compounds against Novel SARS‐CoV‐2 …

M Waqas, A Haider, A Rehman… - BioMed research …, 2021 - Wiley Online Library
Background. Coronaviruses (CoVs) are enveloped positive‐strand RNA viruses which have
club‐like spikes at the surface with a unique replication process. Coronaviruses are …

Synthesis and In Vitro Studies for Structure-Based Design of Novel Chalcones As Antitubercular Agents Targeting InhA

LS Dhivya, BR Pradeepa, S Sarvesh - Future Medicinal Chemistry, 2022 - Taylor & Francis
Background: The authors aimed to estimate the therapeutic potential of novel chalcones
against tuberculosis. Methods: 11 synthesized compounds were tested for in vitro …

In silico designing of multiepitope-based-peptide (MBP) vaccine against MAPK protein express for Alzheimer's disease in Zebrafish

Y Arfat, I Zafar, SA Sehgal, M Ayaz, M Sajid, JM Khan… - Heliyon, 2023 - cell.com
Understanding the role of the mitogen-activated protein kinases (MAPKs) signalling pathway
is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this …