TY - GEN
T1 - Artificial Intelligence in Medicine Discovery:AI in Virtual Screening
AU - Choudhary, Manish Nath
AU - Connolly, James
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/10
Y1 - 2021/6/10
N2 - The world is transforming using Artificial Intelligence. Pharmaceutical companies are currently using traditional medicine discovery, which is a lengthy and costly process, and most discovered drugs cannot obtain relevant regulatory approval for patient use due to their unsuitability. A Virtual screening (VS) approach is a new method to improve the research and development lifecycle. The VS process reduces the initial level of research required to discover potential drug components for a disease. Deep Learning (DL) algorithms play a vital role with VS. DL can understand the patterns within an existing dataset. The drug discovery process applies algorithms to understand the pattern of different chemical compounds with diseases. Now drug discovery is evolving using the capabilities of AI. Deepchem is one of the leading platforms that enable the construction of AI models for different diseases to identify potential drug components. This research paper discusses the Tyrosine-protein kinase cancer disease. In this research, the VS process is used to identify possible drug components of this disease.
AB - The world is transforming using Artificial Intelligence. Pharmaceutical companies are currently using traditional medicine discovery, which is a lengthy and costly process, and most discovered drugs cannot obtain relevant regulatory approval for patient use due to their unsuitability. A Virtual screening (VS) approach is a new method to improve the research and development lifecycle. The VS process reduces the initial level of research required to discover potential drug components for a disease. Deep Learning (DL) algorithms play a vital role with VS. DL can understand the patterns within an existing dataset. The drug discovery process applies algorithms to understand the pattern of different chemical compounds with diseases. Now drug discovery is evolving using the capabilities of AI. Deepchem is one of the leading platforms that enable the construction of AI models for different diseases to identify potential drug components. This research paper discusses the Tyrosine-protein kinase cancer disease. In this research, the VS process is used to identify possible drug components of this disease.
KW - Artificial Intelligence
KW - Deep Learning
KW - Ligand - drug
KW - Machine learning
KW - Virtual screening
KW - molecular weight
UR - http://www.scopus.com/inward/record.url?scp=85114444117&partnerID=8YFLogxK
U2 - 10.1109/ISSC52156.2021.9467865
DO - 10.1109/ISSC52156.2021.9467865
M3 - Conference contribution
AN - SCOPUS:85114444117
T3 - 2021 32nd Irish Signals and Systems Conference, ISSC 2021
BT - 2021 32nd Irish Signals and Systems Conference, ISSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd Irish Signals and Systems Conference, ISSC 2021
Y2 - 10 June 2021 through 11 June 2021
ER -
