Computer Aided Pharmaceutics and Drug Delivery 2022
DOI: 10.1007/978-981-16-5180-9_1
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History and Present Scenario of Computers in Pharmaceutical Research and Development

Vikas Anand Saharan,
Surojit Banerjee,
Swati Penuli
et al.
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Cited by 4 publications
(2 citation statements)
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“…Subsequently, computational chemistry applications became integral in drug discovery workflows, supporting various stages of drug development such as process chemistry, analytical research, and solid form design (Abramov et al, 2022). The evolution continued with the transition from quantitative structure-activity relationship (QSAR) studies to advanced computer-aided drug design (CADD) techniques like structure-based drug design (SBDD) and ligand-based drug design (LBDD), facilitated by the rise of artificial intelligence and machine learning in predicting drug payload in nanocarriers (Sadiku et al, 2019;Saharan et al, 2022;Chaudhari and Md 2024). These advancements have revolutionized drug discovery from empirical approaches to rational design strategies.…”
Section: A Definition and Evolution Of Computational Pharmaceuticsmentioning
confidence: 99%
“…Subsequently, computational chemistry applications became integral in drug discovery workflows, supporting various stages of drug development such as process chemistry, analytical research, and solid form design (Abramov et al, 2022). The evolution continued with the transition from quantitative structure-activity relationship (QSAR) studies to advanced computer-aided drug design (CADD) techniques like structure-based drug design (SBDD) and ligand-based drug design (LBDD), facilitated by the rise of artificial intelligence and machine learning in predicting drug payload in nanocarriers (Sadiku et al, 2019;Saharan et al, 2022;Chaudhari and Md 2024). These advancements have revolutionized drug discovery from empirical approaches to rational design strategies.…”
Section: A Definition and Evolution Of Computational Pharmaceuticsmentioning
confidence: 99%
“…Subsequently, computational chemistry applications became integral in drug discovery workflows, supporting various stages of drug development such as process chemistry, analytical research, and solid form design (Abramov et al, 2022). The evolution continued with the transition from quantitative structure-activity relationship (QSAR) studies to advanced computer-aided drug design (CADD) 2 techniques like structure-based drug design (SBDD) and ligand-based drug design (LBDD), facilitated by the rise of artificial intelligence and machine learning in predicting drug payload in nanocarriers (Sadiku et al, 2019;Saharan et al, 2022;Chaudhari and Md 2024). These advancements have revolutionized drug discovery from empirical approaches to rational design strategies.…”
Section: A Definition and Evolution Of Computational Pharmaceuticsmentioning
confidence: 99%