Abstract
Liposomes, since their discovery have emerged as valuable nanocarriers in drug delivery and molecular biology, significantly enhancing the therapeutic index of many drugs. They were first coined in early 1960s by discovery by Bangham and co-workers. Beyond their conventional applications, a growing interest lies in integrating liposome technology with bioinformatics. Bioinformatic tools plays an important role in predicting, analyzing and simulating complex biological processes. These tools offer deeper insights into liposomal interactions with biological systems. Thanks to this advanced computational modeling, scientists can now design liposomes with improved targeting abilities, optimized stability, and enhanced therapeutic potential. One such model i.e Quantitative Structure–Activity Relationship (QSAR) is used for the precise prediction of liposome–drug and liposome–cell interactions, ultimately contributing to higher drug efficacy and reduced adverse effects. Many studies conducted till date throw light upon the promising synergy between liposomes and bioinformatics, highlighting its potential to transform drug delivery. This review explores this integration, focusing on how computational approaches can advance liposomal design, precision, and efficiency in therapeutic applications