In this paper, we report the development of a prediction method based on a support machine vector algorithm.

Sep 14, 2006 · Structure-based models have been developed using various techniques such as inductive logic programming, neural networks, and support vector ...

An example is to predict the toxicity of chemical compounds using their structural properties as features represented by graphs. A popular method to classify ...

This paper is focused on modern approaches to machine learning, most of which are as yet used infrequently or not at all in chemoinformatics.

This work explores the use of a statistical learning method, support vector machine (SVM), for TdP prediction, and indicates the potential of SVM in ...

Bhavani, Substructure-based support vector machine classifiers for prediction of adverse effects in diverse classes of drugs, J. Chem. Inf. Model., 46 (2006) ...

In this paper, we report development of a prediction method to identify substrates and nonsubstrates of Pglycoprotein, based on a support vector machine ...

Support vector machines implicating the molecular structure descriptors and heuristic method have been used for prediction of the activity of enzyme inhibitors ...

Model. (2009). S. Bhavani et al. Substructure-based support vector machine classifiers for prediction of adverse effects in diverse classes of drugs. J. Chem ...

Oct 9, 2024 · This study aims to develop an ADR prediction model based on demographic and non-clinical data, where we identify the highest contributing factors.