A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.

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作者： Jihui,Tang ^[1] ; Jie,Ning ^[2] ; Xiaoyan,Liu ^[1] ; Baoming,Wu ^[1] ; Rongfeng,Hu ^[3]

作者单位： School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China. ^[1] Department of Oncology, The First Affiliated Hospital, Anhui Medical University, Hefei 230022, China. ^[2] Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui Province Key Laboratory of R&D of Chinese Medicine, Anhui University of Chinese Medicine, Anhui "115" Xin'an Medicine Research & Development Innovation Team, Hefei 230038, China. ^[3]

关键词 Cell-penetrating peptides IBM spss modeler amino acid position machine learning prediction support vector machine.

主题词氨基酸序列(Amino Acid Sequence);细胞膜通透性(Cell Membrane Permeability);细胞穿透性肽类(Cell-Penetrating Peptides);计算生物学(Computational Biology);计算机模拟(Computer Simulation);人类(Humans);构效关系(Structure-Activity Relationship)

DOI 10.2174/1573409914666180925100355

PMID 30251610

发布时间 2019-09-06

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