openEvaluating the evolutionary relationship of TATA binding protein (TBP) with various folding patterns of protein domains using support vector machine (SVM)Muthu KrishnanSelvarajauthorJasmeetKaurauthorThis 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.QR Microbiology2026-02-07NATURE PORTFOLIOArticle

For work being deposited by its own author: In self-archiving this collection of files and associated bibliographic metadata, I grant open the right to store them and to make them permanently available publicly for free on-line. I declare that this material is my own intellectual property and I understand that open does not assume any responsibility if there is any breach of copyright in distributing these files or metadata. (All authors are urged to prominently assert their copyright on the title page of their work.)

For work being deposited by someone other than its author: I hereby declare that the collection of files and associated bibliographic metadata that I am archiving at open) is in the public domain. If this is not the case, I accept full responsibility for any breach of copyright that distributing these files or metadata may entail.

Clicking on the deposit button indicates your agreement to these terms.