PTPD: predicting therapeutic peptides by deep learning and word2vec
Identifieur interne : 000439 ( Main/Exploration ); précédent : 000438; suivant : 000440PTPD: predicting therapeutic peptides by deep learning and word2vec
Auteurs : Chuanyan Wu [République populaire de Chine, Suède] ; Rui Gao [République populaire de Chine] ; Yusen Zhang [République populaire de Chine] ; Yang De Marinis [Suède]Source :
- BMC Bioinformatics [ 1471-2105 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- usage thérapeutique : Peptides.
- Bases de données d'acides nucléiques, Biologie informatique, Découverte de médicament.
English descriptors
- KwdEn :
- MESH :
- chemical , therapeutic use : Peptides.
- methods : Computational Biology.
- Databases, Nucleic Acid, Deep Learning, Drug Discovery.
Abstract
Background In the search for therapeutic peptides for disease treatments, many efforts have been made to identify various functional peptides from large numbers of peptide sequence databases. In this paper, we propose an effective computational model that uses deep learning and word2vec to predict therapeutic peptides (PTPD).
Results Representation vectors of all
Conclusions PTPD identified novel therapeutic peptides efficiently, and it is suitable for application as a useful tool in therapeutic peptide design.
Url:
DOI: 10.1186/s12859-019-3006-z
PubMed: 31492094
PubMed Central: 6728961
Affiliations:
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Le document en format XML
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wicri:level="1"><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1761 1174</institution-id><institution-id institution-id-type="GRID">grid.27255.37</institution-id><institution>School of Control Science and Engineering, Shandong University,</institution></institution-wrap>Jingshi Road, Jinan, 250061 China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Jingshi Road, Jinan</wicri:regionArea><wicri:noRegion>Jinan</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0930 2361</institution-id><institution-id institution-id-type="GRID">grid.4514.4</institution-id><institution>Diabetes and Endocrinology, Lund University,</institution></institution-wrap>Malmo, 20502 Sweden</nlm:aff><country xml:lang="fr">Suède</country><wicri:regionArea>Malmo</wicri:regionArea></affiliation></author><author><name sortKey="Gao, Rui" sort="Gao, Rui" uniqKey="Gao R" first="Rui" last="Gao">Rui Gao</name><affiliation wicri:level="1"><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1761 1174</institution-id><institution-id institution-id-type="GRID">grid.27255.37</institution-id><institution>School of Control Science and Engineering, Shandong University,</institution></institution-wrap>Jingshi Road, Jinan, 250061 China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Jingshi Road, Jinan</wicri:regionArea><wicri:noRegion>Jinan</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Yusen" sort="Zhang, Yusen" uniqKey="Zhang Y" first="Yusen" last="Zhang">Yusen Zhang</name><affiliation wicri:level="1"><nlm:aff id="Aff3"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1761 1174</institution-id><institution-id institution-id-type="GRID">grid.27255.37</institution-id><institution>School of Mathematics and Statistics, Shandong University at Weihai,</institution></institution-wrap>Weihai, 264209 China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Weihai</wicri:regionArea></affiliation></author><author><name sortKey="De Marinis, Yang" sort="De Marinis, Yang" uniqKey="De Marinis Y" first="Yang" last="De Marinis">Yang De Marinis</name><affiliation wicri:level="1"><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0930 2361</institution-id><institution-id institution-id-type="GRID">grid.4514.4</institution-id><institution>Diabetes and Endocrinology, Lund University,</institution></institution-wrap>Malmo, 20502 Sweden</nlm:aff><country xml:lang="fr">Suède</country><wicri:regionArea>Malmo</wicri:regionArea></affiliation></author></analytic><series><title level="j">BMC Bioinformatics</title><idno type="eISSN">1471-2105</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computational Biology (methods)</term><term>Databases, Nucleic Acid</term><term>Deep Learning</term><term>Drug Discovery</term><term>Peptides (therapeutic use)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Bases de données d'acides nucléiques</term><term>Biologie informatique ()</term><term>Découverte de médicament</term><term>Peptides (usage thérapeutique)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Peptides</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term></keywords><keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Peptides</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Databases, Nucleic Acid</term><term>Deep Learning</term><term>Drug Discovery</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Bases de données d'acides nucléiques</term><term>Biologie informatique</term><term>Découverte de médicament</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>*</title><p>Background In the search for therapeutic peptides for disease treatments, many efforts have been made to identify various functional peptides from large numbers of peptide sequence databases. In this paper, we propose an effective computational model that uses deep learning and word2vec to predict therapeutic peptides (PTPD).</p></sec><sec><title>*</title><p>Results Representation vectors of all <italic>k</italic>-mers were obtained through word2vec based on <italic>k</italic>-mer co-existence information. The original peptide sequences were then divided into <italic>k</italic>-mers using the windowing method. The peptide sequences were mapped to the input layer by the embedding vector obtained by word2vec. Three types of filters in the convolutional layers, as well as dropout and max-pooling operations, were applied to construct feature maps. These feature maps were concatenated into a fully connected dense layer, and rectified linear units (ReLU) and dropout operations were included to avoid over-fitting of PTPD. The classification probabilities were generated by a sigmoid function. PTPD was then validated using two datasets: an independent anticancer peptide dataset and a virulent protein dataset, on which it achieved accuracies of 96% and 94%, respectively.</p></sec><sec><title>*</title><p>Conclusions PTPD identified novel therapeutic peptides efficiently, and it is suitable for application as a useful tool in therapeutic peptide design.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Torre, La" uniqKey="Torre L">LA Torre</name></author><author><name sortKey="Bray, F" uniqKey="Bray F">F Bray</name></author><author><name sortKey="Siegel, Rl" uniqKey="Siegel R">RL Siegel</name></author><author><name sortKey="Ferlay, J" uniqKey="Ferlay J">J Ferlay</name></author><author><name sortKey="Lortet Tieulent, J" uniqKey="Lortet Tieulent J">J Lortet-Tieulent</name></author><author><name sortKey="Jemal, A" uniqKey="Jemal A">A Jemal</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Al Benna, S" uniqKey="Al Benna S">S Al-Benna</name></author><author><name sortKey="Shai, Y" uniqKey="Shai Y">Y Shai</name></author><author><name sortKey="Jacobsen, F" uniqKey="Jacobsen F">F Jacobsen</name></author><author><name sortKey="Steinstraesser, L" uniqKey="Steinstraesser L">L Steinstraesser</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kalyanaraman, B" uniqKey="Kalyanaraman B">B Kalyanaraman</name></author><author><name sortKey="Joseph, J" uniqKey="Joseph J">J Joseph</name></author><author><name sortKey="Kalivendi, S" uniqKey="Kalivendi S">S Kalivendi</name></author><author><name sortKey="Wang, S" uniqKey="Wang S">S Wang</name></author><author><name sortKey="Konorev, E" uniqKey="Konorev E">E Konorev</name></author><author><name sortKey="Kotamraju, S" uniqKey="Kotamraju S">S Kotamraju</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Huang, Y" uniqKey="Huang Y">Y Huang</name></author><author><name sortKey="Feng, Q" uniqKey="Feng Q">Q Feng</name></author><author><name sortKey="Yan, Q" uniqKey="Yan Q">Q Yan</name></author><author><name sortKey="Hao, X" uniqKey="Hao X">X Hao</name></author><author><name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chen, W" uniqKey="Chen W">W Chen</name></author><author><name sortKey="Ding, H" uniqKey="Ding H">H Ding</name></author><author><name sortKey="Feng, P" uniqKey="Feng P">P Feng</name></author><author><name sortKey="Lin, H" uniqKey="Lin H">H Lin</name></author><author><name sortKey="Chou, Kc" uniqKey="Chou K">KC Chou</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Li, Fm" uniqKey="Li F">FM Li</name></author><author><name sortKey="Wang, Xq" uniqKey="Wang X">XQ Wang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xu, L" uniqKey="Xu L">L Xu</name></author><author><name sortKey="Liang, G" uniqKey="Liang G">G Liang</name></author><author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name></author><author><name sortKey="Liao, C" uniqKey="Liao C">C Liao</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hajisharifi, Z" uniqKey="Hajisharifi Z">Z Hajisharifi</name></author><author><name sortKey="Piryaiee, M" uniqKey="Piryaiee M">M Piryaiee</name></author><author><name sortKey="Mohammad Beigi, M" uniqKey="Mohammad Beigi M">M Mohammad Beigi</name></author><author><name sortKey="Behbahani, M" uniqKey="Behbahani M">M Behbahani</name></author><author><name sortKey="Mohabatkar, H" uniqKey="Mohabatkar H">H Mohabatkar</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Akbar, S" uniqKey="Akbar S">S Akbar</name></author><author><name sortKey="Hayat, M" uniqKey="Hayat M">M Hayat</name></author><author><name sortKey="Iqbal, M" uniqKey="Iqbal M">M Iqbal</name></author><author><name sortKey="Jan, Ma" uniqKey="Jan M">MA Jan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xu, C" uniqKey="Xu C">C Xu</name></author><author><name sortKey="Ge, L" uniqKey="Ge L">L Ge</name></author><author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name></author><author><name sortKey="Dehmer, M" uniqKey="Dehmer M">M Dehmer</name></author><author><name sortKey="Gutman, I" uniqKey="Gutman I">I Gutman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Manavalan, B" uniqKey="Manavalan B">B Manavalan</name></author><author><name sortKey="Basith, S" uniqKey="Basith S">S Basith</name></author><author><name sortKey="Shin, Th" uniqKey="Shin T">TH Shin</name></author><author><name sortKey="Choi, S" uniqKey="Choi S">S Choi</name></author><author><name sortKey="Kim, Mo" uniqKey="Kim M">MO Kim</name></author><author><name sortKey="Lee, G" uniqKey="Lee G">G Lee</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Manavalan, B" uniqKey="Manavalan B">B Manavalan</name></author><author><name sortKey="Basith, S" uniqKey="Basith S">S Basith</name></author><author><name sortKey="Shin, Th" uniqKey="Shin T">TH Shin</name></author><author><name sortKey="Choi, S" uniqKey="Choi S">S Choi</name></author><author><name sortKey="Kim, Mo" uniqKey="Kim M">MO Kim</name></author><author><name sortKey="Lee, G" uniqKey="Lee G">G Lee</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wei, L" uniqKey="Wei L">L Wei</name></author><author><name sortKey="Zhou, C" uniqKey="Zhou C">C Zhou</name></author><author><name sortKey="Chen, H" uniqKey="Chen H">H Chen</name></author><author><name sortKey="Song, J" uniqKey="Song J">J Song</name></author><author><name sortKey="Su, R" uniqKey="Su R">R Su</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Altschul, Sf" uniqKey="Altschul S">SF Altschul</name></author><author><name sortKey="Gish, W" uniqKey="Gish W">W Gish</name></author><author><name sortKey="Miller, W" uniqKey="Miller W">W Miller</name></author><author><name sortKey="Myers, Ew" uniqKey="Myers E">EW Myers</name></author><author><name sortKey="Lipman, Dj" uniqKey="Lipman D">DJ Lipman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Altschul, Sf" uniqKey="Altschul S">SF Altschul</name></author><author><name sortKey="Madden, Tl" uniqKey="Madden T">TL Madden</name></author><author><name sortKey="Sch Ffer, Aa" uniqKey="Sch Ffer A">AA Schäffer</name></author><author><name sortKey="Zhang, J" uniqKey="Zhang J">J Zhang</name></author><author><name sortKey="Zhang, Z" uniqKey="Zhang Z">Z Zhang</name></author><author><name sortKey="Miller, W" uniqKey="Miller W">W Miller</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Saha, S" uniqKey="Saha S">S Saha</name></author><author><name sortKey="Raghava, Gps" uniqKey="Raghava G">GPS Raghava</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Nanni, L" uniqKey="Nanni L">L Nanni</name></author><author><name sortKey="Lumini, A" uniqKey="Lumini A">A Lumini</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Garg, A" uniqKey="Garg A">A Garg</name></author><author><name sortKey="Gupta, D" uniqKey="Gupta D">D Gupta</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Nanni, L" uniqKey="Nanni L">L Nanni</name></author><author><name sortKey="Lumini, A" uniqKey="Lumini A">A Lumini</name></author><author><name sortKey="Gupta, D" uniqKey="Gupta D">D Gupta</name></author><author><name sortKey="Garg, A" uniqKey="Garg A">A Garg</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Krizhevsky, A" uniqKey="Krizhevsky A">A Krizhevsky</name></author><author><name sortKey="Sutskever, I" uniqKey="Sutskever I">I Sutskever</name></author><author><name sortKey="Hinton, Ge" uniqKey="Hinton G">GE Hinton</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Szegedy, C" uniqKey="Szegedy C">C Szegedy</name></author><author><name sortKey="Liu, W" uniqKey="Liu W">W Liu</name></author><author><name sortKey="Jia, Y" uniqKey="Jia Y">Y Jia</name></author><author><name sortKey="Sermanet, P" uniqKey="Sermanet P">P Sermanet</name></author><author><name sortKey="Reed, S" uniqKey="Reed S">S Reed</name></author><author><name sortKey="Anguelov, D" uniqKey="Anguelov D">D Anguelov</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="He, K" uniqKey="He K">K He</name></author><author><name sortKey="Zhang, X" uniqKey="Zhang X">X Zhang</name></author><author><name sortKey="Ren, S" uniqKey="Ren S">S Ren</name></author><author><name sortKey="Sun, J" uniqKey="Sun J">J Sun</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Girshick, R" uniqKey="Girshick R">R Girshick</name></author><author><name sortKey="Donahue, J" uniqKey="Donahue J">J Donahue</name></author><author><name sortKey="Darrell, T" uniqKey="Darrell T">T Darrell</name></author><author><name sortKey="Malik, J" uniqKey="Malik J">J Malik</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ren, S" uniqKey="Ren S">S Ren</name></author><author><name sortKey="He, K" uniqKey="He K">K He</name></author><author><name sortKey="Girshick, R" uniqKey="Girshick R">R Girshick</name></author><author><name sortKey="Sun, J" uniqKey="Sun J">J Sun</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Tang, P" uniqKey="Tang P">P Tang</name></author><author><name sortKey="Wang, H" uniqKey="Wang H">H Wang</name></author><author><name sortKey="Kwong, S" uniqKey="Kwong S">S Kwong</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhong, Z" uniqKey="Zhong Z">Z Zhong</name></author><author><name sortKey="Jin, L" uniqKey="Jin L">L Jin</name></author><author><name sortKey="Xie, Z" uniqKey="Xie Z">Z Xie</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name></author><author><name sortKey="Roller, S" uniqKey="Roller S">S Roller</name></author><author><name sortKey="Wallace, Bc" uniqKey="Wallace B">BC Wallace</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Min, X" uniqKey="Min X">X Min</name></author><author><name sortKey="Zeng, W" uniqKey="Zeng W">W Zeng</name></author><author><name sortKey="Chen, N" uniqKey="Chen N">N Chen</name></author><author><name sortKey="Chen, T" uniqKey="Chen T">T Chen</name></author><author><name sortKey="Jiang, R" uniqKey="Jiang R">R Jiang</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Novkovi, M" uniqKey="Novkovi M">M Novković</name></author><author><name sortKey="Simuni, J" uniqKey="Simuni J">J Simunić</name></author><author><name sortKey="Bojovi, V" uniqKey="Bojovi V">V Bojović</name></author><author><name sortKey="Tossi, A" uniqKey="Tossi A">A Tossi</name></author><author><name sortKey="Jureti, D" uniqKey="Jureti D">D Juretić</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hajisharifi, Z" uniqKey="Hajisharifi Z">Z Hajisharifi</name></author><author><name sortKey="Piryaiee, M" uniqKey="Piryaiee M">M Piryaiee</name></author><author><name sortKey="Beigi, Mm" uniqKey="Beigi M">MM Beigi</name></author><author><name sortKey="Behbahani, M" uniqKey="Behbahani M">M Behbahani</name></author><author><name sortKey="Mohabatkar, H" uniqKey="Mohabatkar H">H Mohabatkar</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chen, W" uniqKey="Chen W">W Chen</name></author><author><name sortKey="Ding, H" uniqKey="Ding H">H Ding</name></author><author><name sortKey="Feng, P" uniqKey="Feng P">P Feng</name></author><author><name sortKey="Lin, H" uniqKey="Lin H">H Lin</name></author><author><name sortKey="Chou, Kc" uniqKey="Chou K">KC Chou</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Compeau, Pec" uniqKey="Compeau P">PEC Compeau</name></author><author><name sortKey="Pevzner, Pa" uniqKey="Pevzner P">PA Pevzner</name></author><author><name sortKey="Tesler, G" uniqKey="Tesler G">G Tesler</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Aggarwala, V" uniqKey="Aggarwala V">V Aggarwala</name></author><author><name sortKey="Voight, Bf" uniqKey="Voight B">BF Voight</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hinton, Ge" uniqKey="Hinton G">GE Hinton</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hu, B" uniqKey="Hu B">B Hu</name></author><author><name sortKey="Tang, B" uniqKey="Tang B">B Tang</name></author><author><name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name></author><author><name sortKey="Kang, L" uniqKey="Kang L">L Kang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mikolov, T" uniqKey="Mikolov T">T Mikolov</name></author><author><name sortKey="Sutskever, I" uniqKey="Sutskever I">I Sutskever</name></author><author><name sortKey="Chen, K" uniqKey="Chen K">K Chen</name></author><author><name sortKey="Corrado, G" uniqKey="Corrado G">G Corrado</name></author><author><name sortKey="Dean, J" uniqKey="Dean J">J Dean</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhang, D" uniqKey="Zhang D">D Zhang</name></author><author><name sortKey="Xu, H" uniqKey="Xu H">H Xu</name></author><author><name sortKey="Su, Z" uniqKey="Su Z">Z Su</name></author><author><name sortKey="Xu, Y" uniqKey="Xu Y">Y Xu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Nair, V" uniqKey="Nair V">V Nair</name></author><author><name sortKey="Hinton, Ge" uniqKey="Hinton G">GE Hinton</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Boopathi, V" uniqKey="Boopathi V">V Boopathi</name></author><author><name sortKey="Subramaniyam, S" uniqKey="Subramaniyam S">S Subramaniyam</name></author><author><name sortKey="Malik, A" uniqKey="Malik A">A Malik</name></author><author><name sortKey="Lee, G" uniqKey="Lee G">G Lee</name></author><author><name sortKey="Manavalan, B" uniqKey="Manavalan B">B Manavalan</name></author><author><name sortKey="Yang, Dc" uniqKey="Yang D">DC Yang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Nanni, L" uniqKey="Nanni L">L Nanni</name></author><author><name sortKey="Lumini, A" uniqKey="Lumini A">A Lumini</name></author><author><name sortKey="Brahnam, S" uniqKey="Brahnam S">S Brahnam</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Win, Ts" uniqKey="Win T">TS Win</name></author><author><name sortKey="Schaduangrat, N" uniqKey="Schaduangrat N">N Schaduangrat</name></author><author><name sortKey="Prachayasittikul, V" uniqKey="Prachayasittikul V">V Prachayasittikul</name></author><author><name sortKey="Nantasenamat, C" uniqKey="Nantasenamat C">C Nantasenamat</name></author><author><name sortKey="Shoombuatong, W" uniqKey="Shoombuatong W">W Shoombuatong</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Manavalan, B" uniqKey="Manavalan B">B Manavalan</name></author><author><name sortKey="Shin, Th" uniqKey="Shin T">TH Shin</name></author><author><name sortKey="Kim, Mo" uniqKey="Kim M">MO Kim</name></author><author><name sortKey="Lee, G" uniqKey="Lee G">G Lee</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>République populaire de Chine</li><li>Suède</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Wu, Chuanyan" sort="Wu, Chuanyan" uniqKey="Wu C" first="Chuanyan" last="Wu">Chuanyan Wu</name></noRegion><name sortKey="Gao, Rui" sort="Gao, Rui" uniqKey="Gao R" first="Rui" last="Gao">Rui Gao</name><name sortKey="Zhang, Yusen" sort="Zhang, Yusen" uniqKey="Zhang Y" first="Yusen" last="Zhang">Yusen Zhang</name></country><country name="Suède"><noRegion><name sortKey="Wu, Chuanyan" sort="Wu, Chuanyan" uniqKey="Wu C" first="Chuanyan" last="Wu">Chuanyan Wu</name></noRegion><name sortKey="De Marinis, Yang" sort="De Marinis, Yang" uniqKey="De Marinis Y" first="Yang" last="De Marinis">Yang De Marinis</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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