@ARTICLE{Selvaraj2026-yg,
  title     = "Evaluating the evolutionary relationship of {TATA} binding
               protein ({TBP}) with various folding patterns of protein domains
               using support vector machine ({SVM})",
  author    = "Selvaraj, Muthu Krishnan and Kaur, Jasmeet",
  abstract  = "This study focuses on the TATA-box binding, transcription
               initiation factor TFIID protein, (1tba) and employs a
               comprehensive approach combining structural, sequence and
               machine learning-based analysis to investigate its evolutionary
               relationships. By examining the TATA-box binding like protein,
               the study aims to identify similarities with other known protein
               folds, shedding light on its evolutionary relationship, and
               functional connections. To validate these relationships, a
               support vector machine (SVM) based algorithm was developed,
               which was complemented by another machine learning technique
               random forest, to ensure robust and reliable results. The
               integrated findings from structural, sequence, and machine
               learning analysis revealed several domain folds evolutionary
               related to TATA-box binding protein-like (1tba, B). The
               SVM-based method developed in this study serves as a valuable
               tool for identifying novel or functionally similar TATA-box
               binding proteins, providing deeper insights into their
               evolutionary and structural relationships. This work not only
               advances our understanding of the TATA-box binding protein
               family but also demonstrates the power of integrating
               computational and machine learning approaches in protein
               evolution research.",
  journal   = "Sci. Rep.",
  publisher = "Springer Science and Business Media LLC",
  volume    =  16,
  number    =  1,
  month     =  feb,
  year      =  2026,
  keywords  = "1tba; Machine learning; Support vector machine (SVM); TBP; TFIID",
  copyright = "https://creativecommons.org/licenses/by-nc-nd/4.0",
  language  = "en"
}