QSPR Analysis of Drugs for Treatment of Schizophrenia Using Topological Indices.

ABSTRACT: Schizophrenia is a chronic psychotic disorder characterized primarily by cognitive deficits. Drugs and therapies are helpful in managing the symptoms, mostly with long-term compliance. There is a pressing need to design more efficient drugs with fewer adverse effects. Solubility, metabolic stability, toxicity, permeability, and transporter effects are important parameters in the efficacy of drug design, which in turn depend upon different physical and chemical characteristics of drugs. In recent years, there has been growing interest in developing computational tools for the discovery and development of drugs for schizophrenia. Some of these methods use machine learning algorithms to predict the efficacy and side effects of the potential drugs. Other studies have used computer simulations

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10633864 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature