Machine learning model for antiproliferative virtual screening of herbal compounds against hepatocellular carcinoma
نویسندگان
چکیده
Application of neural networks in the identification pharmaceutical lead hitsPukar Khanal, Kiran Kumar Hullatti
منابع مشابه
Preventive and Therapeutic Effects of Chinese Herbal Compounds against Hepatocellular Carcinoma.
Traditional Chinese Medicines, unique biomedical and pharmaceutical resources, have been widely used for hepatocellular carcinoma (HCC) prevention and treatment. Accumulated Chinese herb-derived compounds with significant anti-cancer effects against HCC have been identified. Chinese herbal compounds are effective in preventing carcinogenesis, inhibiting cell proliferation, arresting cell cycle,...
متن کاملMachine learning in virtual screening.
In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a particular protein target. Both ligand-based similarity searching and structure-based docking have benefited from machine learning algorithms, including naïve Baye...
متن کاملScreening for Hepatocellular Carcinoma
Hepatocellular carcinoma is one of the most serious complications of chronic liver disease and is the third most lethal cancer worldwide. Symptoms emerge very late in the course of its natural history with an attendant poor outcome. Screening is of paramount importance in a successful strategy to treat hepatocellular carcinoma. A successful screening program rests the availability of an at-risk...
متن کاملScreening for hepatocellular carcinoma.
Hepatocellular carcinoma (HCC) is one of the commonest cancers in Asian males. In Malaysia, it is one of the ten most common cancers amongst the male population. Most of our patients with HCC present to us rather late and almost all die within 4 months of diagnosis. HCC occurs more commonly in patients with cirrhosis associated with hepatitis B and C infections. Screening for HCC can lead to ea...
متن کاملEvaluation of machine-learning methods for ligand-based virtual screening
Machine-learning methods can be used for virtual screening by analysing the structural characteristics of molecules of known (in)activity, and we here discuss the use of kernel discrimination and naive Bayesian classifier (NBC) methods for this purpose. We report a kernel method that allows the processing of molecules represented by binary, integer and real-valued descriptors, and show that it ...
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ژورنال
عنوان ژورنال: journal of applied pharmaceutical science
سال: 2023
ISSN: ['2231-3354']
DOI: https://doi.org/10.7324/japs.2023.123438