An SVM-based method for assessment of transcription factor-DNA complex models.

ABSTRACT:

Background

Atomic details of protein-DNA complexes can provide insightful information for better understanding of the function and binding specificity of DNA binding proteins. In addition to experimental methods for solving protein-DNA complex structures, protein-DNA docking can be used to predict native or near-native complex models. A docking program typically generates a large number of complex conformations and predicts the complex model(s) based on interaction energies between protein and DNA. However, the prediction accuracy is hampered by current approaches to model assessment, especially when docking simulations fail to produce any near-native models.

Results

We present here a Support Vector Machine (SVM)-based approach for quality assessment of the predicted transcr

SUBMITTER: Corona RI 

PROVIDER: S-EPMC6302363 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature