Table 1.xls (5.5 kB)

The p-value and importance of each feature in energy function for binding affinity change determined by multiple linear regression (MLR).

Name: The p-value and importance of each feature in energy function for binding affinity change determined by multiple linear regression (MLR).
Published: 2018-12-11T18:44:05+00:00
License: https://creativecommons.org/licenses/by/4.0/
Keywords: side-chain optimization algorithms, protein-DNA interactions Protein-DNA interactions, PremPDI, mechanics force fields, protein-DNA interactions, 0.86 kcal mol, mutation, binding affinity change, 49 protein-DNA complexes, Pearson correlation coefficient, DNA binding proteins

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posted on 2018-12-11, 18:44 authored by Ning Zhang, Yuting Chen, Feiyang Zhao, Qing Yang, Franco L. Simonetti, Minghui Li

The p-value and importance of each feature in energy function for binding affinity change determined by multiple linear regression (MLR).

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