软件类别：效率工具,
软件授权：免费软件,
运行环境：ios,
软件语言：英语
Accurate pKa prediction and automatic structure modification is critical for many computational chemistry methods which are strongly dependent on the tautomerization and protonation state of the structures, including docking, binding affinity estimation, QSAR and ADME modelling, and metabolism prediction. MoKa implements a novel approach for in-silico computation of pKa values; trained using a very diverse set of more than 25000 pKa values, it provides accurate and fast calculations using an algorithm based on descriptors derived from GRID molecular interaction fields.
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