[HTML][HTML] Cheminformatics-based study identifies potential ebola VP40 inhibitors
The Ebola virus (EBOV) is still highly infectious and causes severe hemorrhagic fevers in
primates. However, there are no regulatorily approved drugs against the Ebola virus disease …
primates. However, there are no regulatorily approved drugs against the Ebola virus disease …
Anti-biofilm: Machine learning assisted prediction of IC50 activity of chemicals against biofilms of microbes causing antimicrobial resistance and implications in drug …
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier
against the human immune system and drugs. The use of anti-biofilm agents helps in …
against the human immune system and drugs. The use of anti-biofilm agents helps in …
[HTML][HTML] Artificial Intelligence, machine learning, and big data for Ebola virus drug discovery
The effect of Ebola virus disease (EVD) is fatal and devastating, necessitating several efforts
to identify potent biotherapeutic molecules. This review seeks to provide perspectives on …
to identify potent biotherapeutic molecules. This review seeks to provide perspectives on …
[HTML][HTML] Computational study on potential novel anti-Ebola virus protein VP35 natural compounds
Ebola virus (EBOV) is one of the most lethal pathogens that can infect humans. The Ebola
viral protein VP35 (EBOV VP35) inhibits host IFN-α/β production by interfering with host …
viral protein VP35 (EBOV VP35) inhibits host IFN-α/β production by interfering with host …
EBOLApred: A machine learning-based web application for predicting cell entry inhibitors of the Ebola virus
J Adams, K Agyenkwa-Mawuli, O Agyapong… - … Biology and Chemistry, 2022 - Elsevier
Ebola virus disease (EVD) is a highly virulent and often lethal illness that affects humans
through contact with the body fluid of infected persons. Glycoprotein and matrix protein VP40 …
through contact with the body fluid of infected persons. Glycoprotein and matrix protein VP40 …
[HTML][HTML] Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing
Dengue outbreaks persist in global tropical regions, lacking approved antivirals,
necessitating critical therapeutic development against the virus. In this context, we …
necessitating critical therapeutic development against the virus. In this context, we …
Targeted Computational Approaches to Identify Potential Inhibitors for Nipah Virus
Nipah virus (NiV) is a bat-borne, highly pathogenic RNA virus belonging to the family
Paramyxoviridae. It is known for causing lethal encephalitis in humans with a high fatality …
Paramyxoviridae. It is known for causing lethal encephalitis in humans with a high fatality …
Identification of Novel Inhibitors and Biomarkers for Alzheimer's Disease using Computational Systems Polypharmacology and Machine Learning Approach
R Shukla, TR Singh - 2022 - ir.juit.ac.in
The current research is focused on the management of the pathophysiology of the
Alzheimer's Disease (AD). The AD is a neurological irreversible disease characterized by …
Alzheimer's Disease (AD). The AD is a neurological irreversible disease characterized by …
[PDF][PDF] Computational Study on Potential Novel Anti-Ebola Virus Protein VP35 Natural Compounds. Biomedicines 2021, 9, 1796
Ebola virus (EBOV) is one of the most lethal pathogens that can infect humans. The Ebola
viral protein VP35 (EBOV VP35) inhibits host IFN-α/β production by interfering with host …
viral protein VP35 (EBOV VP35) inhibits host IFN-α/β production by interfering with host …