Predicting binding affinity using differential evolution

机译：使用差异进化预测结合亲和力

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

During the processing and presentation of the exogenous antigen the binding between antigens and major histocompatibility complex class II molecules (MHC-II) is the precondition for activating helper T cell to response. For one kind of given MHC-II molecules, if the binding peptide can be predicted precisely, not only it can help us to understand the basic principle of the immune but also is useful and significant for the development of vaccine and the cure of autoimmune diseases. In this paper a method which is composed by Differential Evolution (DE) and position-specific scoring matrix (PSSM) is used to train and analyze the 14 kinds of MHC-II allele's data and set up the prediction models separately. Comparing with other models the model called DE-PSSM in this paper performs better.

机译：在外源抗原的加工和呈递过程中，抗原与主要组织相容性复合物II类分子（MHC-II）之间的结合是激活辅助T细胞应答的前提。对于一种给定的MHC-II分子，如果能够精确预测结合肽，它不仅可以帮助我们理解免疫的基本原理，而且对于疫苗的开发和自身免疫性疾病的治疗也将具有重要意义。。本文采用由差分演化（DE）和位置特异性得分矩阵（PSSM）组成的方法对14种MHC-II等位基因数据进行训练和分析，并分别建立预测模型。与其他模型相比，本文中称为DE-PSSM的模型表现更好。

著录项

来源
《BMEI 2012;International Conference on Biomedical Engineering and Informatics》|2012年|906-909|共4页
会议地点 Chongqing(CN);Chongqing(CN)
作者
Cong Chunyu; Sun Pingping; Ma Zhiqiang;
展开▼
作者单位

School of Computer and Information Technology Northeast Normal University, NENU Changchun, 130117 China;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
DE; MHCII; PSSM; binding prediction; peptide;

机译：DE; MHCII; PSSM;结合预测;肽;;

相似文献

外文文献
中文文献
专利

1. Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 [J] . Thomas W. Flanagan, Eric M. George, Kelsey Rose Casano, Biology Open . 2016,第3期

机译：光漂白研究表明，单个氨基酸多态性负责接头组蛋白亚型H1.1和H1.5的差异结合亲和力光漂白研究表明单个氨基酸多态性负责接头组蛋白亚型H1.1和H1.1的差异结合亲和力和H1.5光漂白研究表明，单个氨基酸多态性是导致接头组蛋白亚型H1.1和H1.5的不同结合亲和力的原因
2. Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 Photobleaching studies reveal that a single amino acid polymorphism is responsible for the differential binding affinities of linker histone subtypes H1.1 and H1.5 [J] . Thomas W. Flanagan, Eric M. George, Kelsey Rose Casano, Biology Open . 2016,第3期

机译：光漂白研究表明，单个氨基酸多态性负责接头组蛋白亚型H1.1和H1.5的差异结合亲和力光漂白研究表明单个氨基酸多态性负责接头组蛋白亚型H1.1和H1.1的差异结合亲和力和H1.5光漂白研究表明，单个氨基酸多态性是导致接头组蛋白亚型H1.1和H1.5的不同结合亲和力的原因
3. Differential binding affinity of mutated peptides for MHC class I is a predictor of survival in advanced lung cancer and melanoma [J] . EGhorani, RRosenthal, NMcGranahan, Annals of oncology: official journal of the European Society for Medical Oncology . 2018,第1期

机译：突变肽对MHC类的差异结合亲和力I是先进肺癌和黑素瘤的存活的预测因子
4. Predicting binding affinity using differential evolution [C] . Cong Chunyu, Sun Pingping, Ma Zhiqiang International Conference on Biomedical Engineering and Informatics . 2012

机译：预测使用差分演变的结合亲和力
5. Data-Driven and Task-Specific Scoring Functions for Predicting Ligand Binding Poses and Affinity and for Screening Enrichment. [D] . Ashtawy, Hossam M. 2017

机译：数据驱动的和特定于任务的评分功能，用于预测配体结合位置和亲和力以及筛选富集。
6. iSEE: Interface structure evolution and energy‐based machine learning predictor of binding affinity changes upon mutations [O] . Cunliang Geng, Anna Vangone, Gert E. Folkers, -1

机译：iSEE：结合亲和力在突变时的接口结构演化和基于能量的机器学习预测器
7. iSEE: Interface structure, evolution, and energy-based machine learning predictor of binding affinity changes upon mutations [O] . Cunliang Geng, Anna Vangone, Gert E. Folkers, 2018

机译：ISEE：界面结构，进化和基于能量的机器学习预测因子对突变的结合亲和力变化

Predicting binding affinity using differential evolution

摘要

著录项

相似文献

相关主题

期刊订阅