[HTML][HTML] Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …
development as intractable and hot research. Developing new drug molecules to overcome …
[HTML][HTML] Design of SARS-CoV-2 main protease inhibitors using artificial intelligence and molecular dynamic simulations
L Elend, L Jacobsen, T Cofala, J Prellberg, T Teusch… - Molecules, 2022 - mdpi.com
Drug design is a time-consuming and cumbersome process due to the vast search space of
drug-like molecules and the difficulty of investigating atomic and electronic interactions. The …
drug-like molecules and the difficulty of investigating atomic and electronic interactions. The …
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID‐19
Early diagnosis of pandemic diseases such as COVID‐19 can prove beneficial in dealing
with difficult situations and helping radiologists and other experts manage staffing more …
with difficult situations and helping radiologists and other experts manage staffing more …
Systemic In Silico Screening in Drug Discovery for Coronavirus Disease (COVID-19) with an Online Interactive Web Server
C Xu, Z Ke, C Liu, Z Wang, D Liu, L Zhang… - Journal of Chemical …, 2020 - ACS Publications
The emergence of the new coronavirus (nCoV-19) has impacted human health on a global
scale, while the interaction between the virus and the host is the foundation of the disease …
scale, while the interaction between the virus and the host is the foundation of the disease …
Artificial intelligence based drug discovery techniques for covid-19 detection
K Arora, AS Bist - Aptisi Transactions on Technopreneurship (ATT), 2020 - att.aptisi.or.id
Recent advancements in the area of drug discovery using artificial intelligence made it
possible to speed up the hunt for new pharmaceuticals. Drugs like arbidol, atazanavir …
possible to speed up the hunt for new pharmaceuticals. Drugs like arbidol, atazanavir …
In silico studies on therapeutic agents for COVID-19: Drug repurposing approach
Aims The severe acute respiratory syndrome coronavirus 2, better known as COVID-19 has
become the current health concern to the entire world. Initially appeared in Wuhan, China …
become the current health concern to the entire world. Initially appeared in Wuhan, China …
Deep learning techniques and COVID-19 drug discovery: Fundamentals, state-of-the-art and future directions
The world is in a frustrating situation, which is exacerbating due to the time-consuming
process of the COVID-19 vaccine design and production. This chapter provides a …
process of the COVID-19 vaccine design and production. This chapter provides a …
[HTML][HTML] Exploiting cheminformatic and machine learning to navigate the available chemical space of potential small molecule inhibitors of SARS-CoV-2
The current life-threatening and tenacious pandemic eruption of coronavirus disease in
2019 (COVID-19) has posed a significant global hazard concerning high mortality rate …
2019 (COVID-19) has posed a significant global hazard concerning high mortality rate …
Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due
to substantial progress in high-performance computing, the development of superior …
to substantial progress in high-performance computing, the development of superior …
[HTML][HTML] Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Background Until now, there are still a limited number of resources available to predict and
diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 …
diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 …