CoMemMoRFPred:通过结合内在疾病,MoRF和乱的脂质结合区域的预测因素,对MemMoRF进行基于序列的预测

Sushmita Basu1, Tamás Hegedűs2, Lukasz Kurgan1

  • 1Department of Computer Science, Virginia Commonwealth University, USA.

Journal of molecular biology
|September 14, 2023
PubMed
概括

我们开发了CoMemMoRFPred,这是一个计算工具,可以准确预测膜结合分子识别特征 (MemMoRFs). 这个预测器结合了现有的方法来识别这些关键的无序蛋白质区域,参与细胞功能和疾病.

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