PhysBinder

PhysBinder predicts transcription factor binding sites (TFBS) by integrating direct sequence information with indirect biophysical features to improve identification of transcription factor–DNA interactions.

Key Features:

• Integrative algorithm: Combines direct sequence information and indirect biophysical features for TFBS prediction.
• Indirect biophysical features: Incorporates DNA bendability and solvent-excluded surface area as structural readout components.
• Flexible, extensible framework: Implements a flexible and extensible algorithm architecture to accommodate multiple features.
• TF-binding model library: Utilizes a library of over 60 transcription factor-binding models.
• FASTA input: Accepts nucleotide sequences in FASTA format for analysis.
• Multifaceted readout: Enhances prediction performance relative to sequence-only approaches by integrating multiple readout features.

Scientific Applications:

• Transcription factor binding site prediction: Predicts TFBS to identify candidate loci of transcription factor–DNA interaction.
• Experimental design and validation: Provides predictions to guide planning and validation of wet‑lab experiments on TF–DNA interactions.
• Structural dynamics analysis: Employs structural readout features to inform studies of TF–DNA structural dynamics and recognition mechanisms.

Methodology:

Integrates direct sequence information and indirect biophysical properties, specifically DNA bendability and solvent-excluded surface area, via a flexible, extensible algorithm that leverages a library of over 60 transcription factor‑binding models and accepts FASTA input.