Dự đoán các lớp cấu trúc protein dựa trên kỹ thuật chọn đặc trưng

Hui Ding1, Hao Lin1, Wei Chen2, Zi-Qiang Li3, Feng-Biao Guo1, Jian Huang1, Nini Rao1
1Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
2Department of Physics, Center for Genomics and Computational Biology, College of Sciences, Hebei United University, Tangshan, China
3School of information and Engineering, Sichuan Agricultural University, Yaan, China

Tóm tắt

Dự đoán các lớp cấu trúc của protein có lợi cho việc hiểu các mô hình gấp nếp, chức năng và tương tác của protein. Trong nghiên cứu này, chúng tôi đề xuất một phương pháp dựa trên việc chọn lọc đặc trưng để dự đoán chính xác các lớp cấu trúc protein. Ba bộ dữ liệu có độ đồng nhất chuỗi thấp hơn 25% đã được sử dụng để kiểm tra hiệu suất dự đoán của phương pháp. Thông qua kiểm tra chéo jackknife, chúng tôi đã xác nhận rằng độ chính xác tổng thể của ba bộ dữ liệu này lần lượt là 92,1%, 89,7% và 84,0%. Phương pháp được đề xuất là hiệu quả và chính xác hơn so với các phương pháp hiện có khác. Nghiên cứu hiện tại sẽ cung cấp một sự thay thế tuyệt vời cho các phương pháp khác trong việc dự đoán các lớp cấu trúc protein.

Từ khóa

#protein #cấu trúc #dự đoán #kỹ thuật chọn lọc đặc trưng #hiệu suất

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