Cargando…

Artificial intelligence (AI) is paving the way for a critical role in drug discovery, drug design, and studying drug–drug interactions – correspondence

Detalles Bibliográficos
Autores principales:	Chakraborty, Sandip, Chopra, Hitesh, Akash, Shopnil, Chakraborty, Chiranjib, Dhama, Kuldeep
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Correspondence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583898/ https://www.ncbi.nlm.nih.gov/pubmed/37352517 http://dx.doi.org/10.1097/JS9.0000000000000564

Ejemplares similares

Advances in artificial intelligence (AI)-based diagnosis in clinical practice—correspondence
por: Chakraborty, Sandip, et al.
Publicado: (2023)

Advances in artificial intelligence based diagnosis and treatment of liver diseases – Correspondence
por: Chakraborty, Sandip, et al.
Publicado: (2023)

Organ-on-chip: a new paradigm for clinical trials – correspondence
por: Chopra, Hitesh, et al.
Publicado: (2023)

Artificial intelligence enabled ChatGPT and large language models in drug target discovery, drug discovery, and development
por: Chakraborty, Chiranjib, et al.
Publicado: (2023)

Excellence paves the way with current research in pharmacology and drug discovery
por: Calzetta, Luigino, et al.
Publicado: (2020)

Artificial intelligence–enabled clinical trials might be a faster way to perform rapid clinical trials and counter future pandemics: lessons learned from the COVID-19 period
por: Chakraborty, Chiranjib, et al.
Publicado: (2023)

Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
por: Tripathi, Manish Kumar, et al.
Publicado: (2021)

Clinical management, antiviral drugs and immunotherapeutics for treating monkeypox. An update on current knowledge and futuristic prospects
por: Chakraborty, Sandip, et al.
Publicado: (2022)

Computerized techniques pave the way for drug-drug interaction prediction and interpretation
por: Safdari, Reza, et al.
Publicado: (2016)

Re-emerging of Marburg virus: warning about its virulence and potential impact on world’s health
por: Akash, Shopnil, et al.
Publicado: (2023)

Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
por: Han, Ri, et al.
Publicado: (2023)

Monkeypox in South-East Asia: Is an alarming bell for this region? – Correspondence
por: Chakraborty, Chiranjib, et al.
Publicado: (2022)

Monkeypox vaccines and vaccination strategies: Current knowledge and advances. An update – Correspondence
por: Chakraborty, Sandip, et al.
Publicado: (2022)

Metabolomics paves the way for improved drug target identification
por: Garana, Belinda B, et al.
Publicado: (2022)

Countering hepatitis E infection in South Sudan in the backdrop of recent outbreak
por: Chakraborty, Sandip, et al.
Publicado: (2023)

Artificial intelligence in drug discovery and development
por: Paul, Debleena, et al.
Publicado: (2021)

Immediate need for next-generation and mutation-proof vaccine to protect against current emerging Omicron sublineages and future SARS-CoV-2 variants: An urgent call for researchers and vaccine companies – Correspondence
por: Chakraborty, Chiranjib, et al.
Publicado: (2022)

Emerging cases of acute hepatitis of unknown origin in children amid the ongoing COVID-19 pandemic: Needs attention – Correspondence
por: Mohapatra, Ranjan K., et al.
Publicado: (2022)

The SARS-CoV-2 Omicron recombinant subvariants XBB, XBB.1, and XBB.1.5 are expanding rapidly with unique mutations, antibody evasion, and immune escape properties – an alarming global threat of a surge in COVID-19 cases again?
por: Chakraborty, Chiranjib, et al.
Publicado: (2023)

Recently emerged omicron subvariant BF.7 and its R346T mutation in the RBD region reveal increased transmissibility and higher resistance to neutralization antibodies: need to understand more under the current scenario of rising cases in China and fears of driving a new wave of the COVID-19 pandemic
por: Chakraborty, Chiranjib, et al.
Publicado: (2023)

Recombinant SARS-CoV-2 variants XD, XE, and XF: The emergence of recombinant variants requires an urgent call for research – Correspondence
por: Chakraborty, Chiranjib, et al.
Publicado: (2022)

Langya virus, a newly identified Henipavirus in China - Zoonotic pathogen causing febrile illness in humans, and its health concerns: Current knowledge and counteracting strategies – Correspondence
por: Chakraborty, Sandip, et al.
Publicado: (2022)

Editorial: Methods and application in experimental pharmacology and drug discovery: 2021
por: Polito, Letizia, et al.
Publicado: (2022)

The recently emerged BA.4 and BA.5 lineages of Omicron and their global health concerns amid the ongoing wave of COVID-19 pandemic – Correspondence
por: Mohapatra, Ranjan K., et al.
Publicado: (2022)

Dracunculiasis (Guinea worm disease), a parasitic infection: epidemiology, life cycle, prevention, treatment, and challenges – correspondence
por: Islam, Md. Rezaul, et al.
Publicado: (2023)

Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
por: Zhavoronkov, Alex, et al.
Publicado: (2020)

Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
por: Moreira-Filho, José T., et al.
Publicado: (2021)

Natural product drug discovery in the artificial intelligence era
por: Saldívar-González, F. I., et al.
Publicado: (2021)

Artificial intelligence in cancer target identification and drug discovery
por: You, Yujie, et al.
Publicado: (2022)

Artificial intelligence for drug discovery: Resources, methods, and applications
por: Chen, Wei, et al.
Publicado: (2023)

Autophagy and Alzheimer’s disease: How far science has to be progressed? − correspondence
por: Emran, Talha B., et al.
Publicado: (2023)

Editorial: Computer-aided drug design: Drug discovery, computational modelling, and artificial intelligence
por: Ye, Fei, et al.
Publicado: (2022)

Recent first report of human-to-dog transmission of Monkeypox virus emphasizes an urgent need of enhancing surveillance and strengthen further explorative research to reveal its real magnitude of reverse zoonosis from other animals including pets as like that happened with SARS-CoV-2 / COVID-19 pandemic – Correspondence
por: Sah, Ranjit, et al.
Publicado: (2022)

The D614G mutation helps to increase the transmissibility and reduce the virulence of SARS-CoV-2 variants through natural selection
por: Chakraborty, Chiranjib, et al.
Publicado: (2023)

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
por: Gupta, Rohan, et al.
Publicado: (2021)

AI in drug discovery: Applications, opportunities, and challenges
por: Bittner, Martin-Immanuel, et al.
Publicado: (2022)

AI in drug discovery and its clinical relevance
por: Qureshi, Rizwan, et al.
Publicado: (2023)

Fruit fly for anticancer drug discovery and repurposing
por: Nainu, Firzan, et al.
Publicado: (2023)

Artificial intelligence and big data facilitated targeted drug discovery
por: Liu, Benquan, et al.
Publicado: (2019)

Artificial intelligence in interdisciplinary life science and drug discovery research
por: Bajorath, Jürgen
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7i2v22jcc2nncf3qrc8qce4apv