[HTML][HTML] Machine learning methods in drug discovery
L Patel, T Shukla, X Huang, DW Ussery, S Wang - Molecules, 2020 - mdpi.com
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
[HTML][HTML] Artificial intelligence and machine learning technology driven modern drug discovery and development
C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …
translational science effort that adds to human invulnerability and happiness. But advancing …
[HTML][HTML] The rise of deep learning in drug discovery
Highlights•Deep learning technology has gained remarkable success.•We highlight the
recent applications of deep learning in drug discovery research.•Some popular deep …
recent applications of deep learning in drug discovery research.•Some popular deep …
[HTML][HTML] Application of computational biology and artificial intelligence in drug design
Traditional drug design requires a great amount of research time and developmental
expense. Booming computational approaches, including computational biology, computer …
expense. Booming computational approaches, including computational biology, computer …
[HTML][HTML] Deep learning tools for advancing drug discovery and development
A few decades ago, drug discovery and development were limited to a bunch of medicinal
chemists working in a lab with enormous amount of testing, validations, and synthetic …
chemists working in a lab with enormous amount of testing, validations, and synthetic …
[PDF][PDF] Machine learning techniques in drug discovery and development
R Manne - International Journal of Applied Research, 2021 - researchgate.net
The advancement and progress in technology and related techniques have created an
opportunity for progress in many scientific fields and various industries. Machine learning …
opportunity for progress in many scientific fields and various industries. Machine learning …
Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling
Highlights•Drug discovery has been advanced to a big data era with a large amount of
public data sources available.•Ten V features (volume, velocity, variety, veracity, validity …
public data sources available.•Ten V features (volume, velocity, variety, veracity, validity …
[HTML][HTML] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
Recent applications of machine learning in medicinal chemistry
J Panteleev, H Gao, L Jia - Bioorganic & medicinal chemistry letters, 2018 - Elsevier
In recent decades, artificial intelligence and machine learning have played a significant role
in increasing the efficiency of processes across a wide spectrum of industries. When it …
in increasing the efficiency of processes across a wide spectrum of industries. When it …
From computer-aided drug discovery to computer-driven drug discovery
Computational chemistry and structure-based design have traditionally been viewed as a
subset of tools that could aid acceleration of the drug discovery process, but were not …
subset of tools that could aid acceleration of the drug discovery process, but were not …