9aaTAD

9aaTAD predicts 9 amino acid transcriptional activation domains (9aaTADs) within protein sequences to identify interfaces used by Yamanaka factors (Oct4, Sox2, Myc, Klf4) for transcription activation and cellular reprogramming.

Key Features:

• Identification of 9aaTAD activation domains: Pinpoints 9 amino acid transcriptional activation domains that serve as interaction interfaces for transcriptional activators.
• Sequence scanning for motifs: Performs computational scanning of protein sequences to detect candidate 9aaTAD motifs.
• Experimental validation linkage: Reports domains that have been experimentally validated as strong transcriptional activators.
• Annotation of mediator interactions: Highlights 9aaTADs implicated in interactions with transcriptional mediators and phase-separated transcriptional condensates at genomic loci.

Scientific Applications:

• Cellular reprogramming research: Facilitates identification of domains in Oct4, Sox2, Myc, Klf4 and other factors relevant to somatic cell reprogramming into induced pluripotent stem cells (iPSCs).
• Transcription activation studies: Supports analysis of how transcription factors activate transcription through 9aaTAD–mediator interactions at distinct genomic loci.

Methodology:

The method computationally scans protein sequences for the presence of 9aaTAD motifs.