Plant_SNP_TATA_Z-tester

Plant_SNP_TATA_Z-tester estimates the impact of proximal promoter mutations on plant gene expression by integrating experimental data and applying Tikhonov regularization informed by TATA-binding protein interchangeability.

Key Features:

• Data Compilation: Compiles experimental data from PubMed on mutational effects in plant proximal promoters and their influence on gene expression.
• Statistical Correlation: Applies statistical methods to correlate predicted impacts of promoter mutations with existing experimental datasets.
• Tikhonov Regularization: Uses Tikhonov regularization to convert an ill-posed inverse problem of estimating mutation effects into a well-posed problem, leveraging demonstrated functional interchangeability between plant and human TATA-binding proteins.
• Validation against Challenging Datasets: Evaluates predictions on datasets that probe the existence and uniqueness of solutions and reports statistical significance of results.

Scientific Applications:

• Agricultural Optimization: Informs synthetic targeted optimization of plant promoters, hybridization with wild congeners, and marker-assisted breeding by predicting promoter mutation effects on gene expression.
• Research Validation: Supports studies of gene regulation and mutation impacts by providing predictions that are statistically compared to experimental data.

Methodology:

Compilation of experimental datasets from PubMed, statistical correlation of predictions with experimental data, and application of Tikhonov regularization to address the ill-posed inverse problem, using experimental evidence of functional interchangeability between plant and human TATA-binding proteins.