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基于序列特征的固有無序蛋白結合位點的統(tǒng)計分析(本科畢業(yè)論文)(完整版)

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【正文】 and functional proteomics. Biophys , 92: 14391456. [6] Burra PV, Kalmar L, Tompa P . Reduction in structural disorder and functional plexity in the thermal adaptation of prokaryotes. PLoS One .20xx, 5: e12069. [7] PavlovicLazetic GM, Mitic NS, Kovacevic JJ, Obradovic Z, Malkov SN, et al. Bioinformatics analysis of 德州學院 物電學院 20xx 屆 應用物理學專業(yè) 畢業(yè)論文 15 disordered proteins in prokaryotes. BMC Bioinformatics. 20xx,12: 66. [8] Xue B, Dunker AK, Uversky VN . Orderly order in protein intrinsic disorder distribution: disorder in 3500 proteomes from viruses and the three domains of life. J Biomol Struct Dyn .20xx,30: 137149. [9] Sethi D, Garg A, Raghava GP. DPROT: prediction of disordered proteins using evolutionary information. Amino , 35: 599605. [10] Bellay J, Han S, Michaut M, Kim T, Costanzo M, et al. Bringing order to protein disorder through parative genomics and geic interactions. Genome , 12: 14. [11] Muppirala UK, Honavar VG, Dobbs D Predicting RNAprotein interactions using only sequence information. BMC ,12: 489. [12] Dosztanyi Z, Csizmok V, Tompa P, Simon I The pairwise energy content estimated from amino acid position discriminates between folded and intrinsically unstructured proteins. J Mol Biol 20xx,347: 827839. [13] Meszaros B, Tompa P, Simon I, Dosztanyi Z Molecular principles of the interactions of disordered proteins. J Mol Biol 20xx,372: 549561. [14] Gunasekaran K, Tsai CJ, Kumar S, Zanuy D, Nussinov RExtended disordered proteins: targeting function with less scaffold. Trends Biochem Sci 20xx,28: 8185. [15] 吳建盛 , 棟 胡 , 伍洪濤 , 謝建明 , 嘯 孫 蛋白質 核酸復合物界面氨基酸與核苷酸偏好性分析 . 生物物理學報 20xx,26: 234244. [16] Shen J, Zhang J, Luo X, Zhu W, Yu K, et proteinprotein interactions based only on sequences information. Proc Natl Acad Sci U S A 20xx,104: 43374341. [17] Wu J, Liu H, Duan X, Ding Y, Wu H, et of DNAbinding residues in proteins from amino acid sequences using a random forest model with a hybrid feature. Bioinformatics 20xx,25: 3035. Studies on Binding Sites Based on Sequence Characteristics Intrinsically Disordered Proteins Statistics Yan Zhiduo (College of Physics and Electronic Information, Dezhou University, Dezhou Shandong, 253023) Abstract Taking Disprot and BSDP intrinsically disordered proteins binding sites in the database as the research object, build 9 kinds of binding site data sets, using MATLAB to statistics the binding sites of various amino acids frequency, it was found that the interaction sites of protein and protein is the most, interaction sites of proteins and ATP/GTP is the least, and we can learn 德州學院 物電學院 20xx 屆 應用物理學專業(yè) 畢業(yè)論文 16 that all kinds of binding site of amino acid has obvious preferences. The study is helpful to know the intrinsically chaotic characteristics of protein interactions with other ingredients, to further excavate the intrinsically unordered sequence characteristics of protein, and it has laid a good foundation for the development of the software which prediction binding sites of intrinsically disordered protein and protein, DNA, RNA, ligands, cofactors and so on. Keywords Intrinsically disordered proteins。同時還要感謝我的母校 德州學院對我的大力栽培。 V=0。 N=0。 B=0。A39。 S=S+length(strfind(Sequence{k},39。))。K39。 G=G+length(strfind(Sequence{k},39。))。I39。 D=D+length(strfind(Sequence{k},39。B39。 end sum_Aa=sum_AaXBZU。 Paa(8,1)=I/sum_Aa。 Paa(16,1)=S/sum_Aa。 S= 0。 G=0。 D=0。)。M39。 V=V+length(strfind(Sequence1{k},39。))。R39。 N=N+length(strfind(Sequence1{k},39。))。C39。))。U39。 Paa(6,2)=E/sum_Aa。 Paa(14,2)=F/sum_Aa。 W= 0。 E=0。 H=0。 [seq_header2,Sequence2]=fastaread(39。))。T39。 L=L+length(strfind(Sequence2{k},39。))。F39。 Y=Y+length(strfind(Sequence2{k},39。))。 X=X+length(strfind(Sequence2{k},39。))。 Paa(4,3)=C/sum_Aa。 德州學院 物電學院 20xx 屆 應用物理學專業(yè) 畢業(yè)論文 23 Paa(12,3)=K/sum_Aa。 Paa(20,3)=V/sum_Aa。XTickLabel39。S39。L39。G39。Y39。D39。所有 39。,39。) applyhatch(gcf,39。無序區(qū) 39。XTick39。I39。F39。K39。T39。A39。amino acid39。 Paa(14,3)=F/sum_Aa。 Paa(6,3)=E/sum_Aa。U39。))。C39。))。 N=N+length(strfind(Sequence2{k},39。R39。))。 V=V+length(strfind(Sequence2{k},39。M39。)。 D=0。 G=0。 S= 0。 Paa(16,2)=S/sum_Aa。 Paa(8,2)=I/sum_Aa。 德州學院 物電學院 20xx 屆 應用物理學專業(yè) 畢業(yè)論文 21 end sum_Aa=sum_AaXBZU。B39。 D=D+length(strfind(Sequence1{k},39。I39。))。 G=G+length(strfind(Sequence1{k},39。K39。))。 S=S+length(strfind(Sequence1{k},39。
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