Cargando…
De Novo Design of Anti-COVID Drugs Using Machine Learning-Based Equivariant Diffusion Model Targeting the Spike Protein
The drug discovery and research for an anti-COVID-19 drug has been ongoing despite repurposed drugs in the market. Over time, these drugs were discontinued due to side effects. The search for effective drugs is still under process. The role of Machine Learning (ML) is critical in the search for nove...
Autores principales: | Niranjan, Vidya, Uttarkar, Akshay, Ramakrishnan, Ananya, Muralidharan, Anagha, Shashidhara, Abhay, Acharya, Anushri, Tarani, Avila, Kumar, Jitendra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217495/ https://www.ncbi.nlm.nih.gov/pubmed/37232740 http://dx.doi.org/10.3390/cimb45050271 |
Ejemplares similares
-
Protocol for the development of coarse-grained structures for macromolecular simulation using GROMACS
por: Niranjan, Vidya, et al.
Publicado: (2023) -
Design of Novel Coumarin Derivatives as NUDT5 Antagonists That Act by Restricting ATP Synthesis in Breast Cancer Cells
por: Niranjan, Vidya, et al.
Publicado: (2022) -
Mycobacterium Time-Series Genome Analysis Identifies AAC2′ as a Potential Drug Target with Naloxone Showing Potential Bait Drug Synergism
por: Niranjan, Vidya, et al.
Publicado: (2022) -
Molecular Docking and Interaction Studies of Identified Abscisic Acid Receptors in Oryza sativa: An In-Silico Perspective on Comprehending Stress Tolerance Mechanisms
por: Niranjan, Vidya, et al.
Publicado: (2021) -
Scope of repurposed drugs against the potential targets of the latest variants of SARS-CoV-2
por: Niranjan, Vidya, et al.
Publicado: (2022)