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In silico design of MHC class I high binding affinity peptides through motifs activation map

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成果类型:
期刊论文、会议论文
作者:
Xiao, Zhoujian;Zhang, Yuwei;Yu, Runsheng;Chen, Yin;Jiang, Xiaosen;...
通讯作者:
Li, Shuaicheng
作者机构:
[Yu, Runsheng; Xiao, Zhoujian] South China Normal Univ, HEMC Guangzhou Higher Educ Mega Ctr Campus, Guangzhou, Guangdong, Peoples R China.
[Wang, Ziwei] Hunan Agr Univ, Nongda Rd, Changsha, Hunan, Peoples R China.
[Jiang, Xiaosen; Chen, Yin] Huazhong Univ Sci & Technol, Luoyu Rd 1037, Wuhan, Hubei, Peoples R China.
[Zhang, Yuwei; Li, Shuaicheng] City Univ Hong Kong, Kowloon, 83 Tat Chee Ave, Hong Kong, Peoples R China.
通讯机构:
[Li, Shuaicheng] C
City Univ Hong Kong, Kowloon, 83 Tat Chee Ave, Hong Kong, Peoples R China.
语种:
英文
关键词:
Design new peptides with high binding affinity to MHC-I molecule;Convolutional neural network;Motifs activation map
期刊:
BMC Bioinformatics
ISSN:
1471-2105
年:
2018
卷:
19
期:
19
页码:
13-24
会议名称:
29th Internatioinal Conference on Genome Informatics (GIW) - Bioinformatics
会议时间:
DEC 03-05, 2018
会议地点:
Yunnan, PEOPLES R CHINA
会议主办单位:
[Xiao, Zhoujian;Yu, Runsheng] South China Normal Univ, HEMC Guangzhou Higher Educ Mega Ctr Campus, Guangzhou, Guangdong, Peoples R China.^[Wang, Ziwei] Hunan Agr Univ, Nongda Rd, Changsha, Hunan, Peoples R China.^[Chen, Yin;Jiang, Xiaosen] Huazhong Univ Sci & Technol, Luoyu Rd 1037, Wuhan, Hubei, Peoples R China.^[Zhang, Yuwei;Li, Shuaicheng] City Univ Hong Kong, Kowloon, 83 Tat Chee Ave, Hong Kong, Peoples R China.
出版地:
CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
出版者:
BMC
基金类别:
Publication costs are funded by the GRF Research Projects 9042348 (CityU 11257316). The work described in this paper was also supported by the project.
机构署名:
本校为其他机构
摘要:
Background: Finding peptides with high binding affinity to Class I major histocompatibility complex (MHC-I) attracts intensive research, and it serves a crucial part of developing a better vaccine for precision medicine. Traditional methods cost highly for designing such peptides. The advancement of computational approaches reduces the cost of new drug discovery dramatically. Compared with flourishing computational drug discovery area, the immunology area lacks tools focused on in silico design for the peptides with high binding affinity. Attri...

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