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左右手对称模型中重中微子衰变
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作者 覃仁晖 贺麟云 宁国柱 《河北大学学报(自然科学版)》 CAS 北大核心 2023年第2期139-145,共7页
在左右手对称模型中,考虑重中微子质量少于左手规范玻色子W_(L)的质量,计算了重中微子的各类衰变,发现重中微子总衰变宽度按贡献可以分为左手部分为主、右手部分为主以及左右手部分可比拟3种情况.结果表明:当轻重中微子混合取最大值1,... 在左右手对称模型中,考虑重中微子质量少于左手规范玻色子W_(L)的质量,计算了重中微子的各类衰变,发现重中微子总衰变宽度按贡献可以分为左手部分为主、右手部分为主以及左右手部分可比拟3种情况.结果表明:当轻重中微子混合取最大值1,右手规范玻色子W R取实验允许的最低质量时,重中微子总衰变宽度仍然远小于其质量. 展开更多
关键词 重中微子 轻子数破坏 衰变宽度 左右手对称模型
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Integration of genetic virtual screening patterns and latent multivariate modeling techniques for QSAR optimization based on combinations and/or interactions between peptides and proteins
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作者 LI ZhiLiang TIAN FeiFei +8 位作者 WU ShiRong YANG ShanBin YANG ShengXi ZHOU Yuan ZHANG QiaoXia qin renhui MEI Hu CHEN Gang LI GenRong 《Science China Chemistry》 SCIE EI CAS 2008年第5期487-496,共10页
Both the concept and the model of snug quantitative structure-activity relationship (QSAR) were pro-posed and developed for molecular design through constructing QSAR based on some known mode of receptor/ligand intera... Both the concept and the model of snug quantitative structure-activity relationship (QSAR) were pro-posed and developed for molecular design through constructing QSAR based on some known mode of receptor/ligand interactions. Many disadvantages of traditional models can be avoided by using the proposed method because the traditional models only determined upon molecular structural features in sample sets themselves. A genetic virtual screening of peptide/protein combinations (GVSPPC) is proposed for the first time by utilizing this idea to examine peptide/protein affinity activities. A genetic algorithm (GA) was developed for screening combinative targets with an interaction mode for virtual receptors. GVSPPC succeeds in disposing difficulties in rational QSAR,in order to search for the ligand/receptor interactions on conditions of unknown structures. Some bioactive oligo-/poly-peptide systems covering 58 angiotensin converting enzyme (ACE) inhibitors and 18 double site mutation residues in camel antibody protein cAb-Lys3 were investigated by GVSPPC with satisfactory results (R 2 cu>0.91,Q 2 cv > 0.86,ERMS=0.19-0.95),respectively,which demonstrates that GVSPPC is more inter-pretable in the ligand-receptor interaction than the traditional QSAR method. 展开更多
关键词 GENETIC virtual screening of peptide-protein combination (GVSPPC) quantitative STRUCTURE-ACTIVITY relationship (QSAR) GENETIC algorithm (GA) partial least square (PLS) principal component analysis (PCA)
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