Search Results - "Lin, Peicong"

Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly by He, Jiahua, Lin, Peicong, Chen, Ji, Cao, Hong, Huang, Sheng-You

“…Advances in microscopy instruments and image processing algorithms have led to an increasing number of cryo-electron microscopy (cryo-EM) maps. However,…”
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Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes by Lin, Peicong, Yan, Yumeng, Tao, Huanyu, Huang, Sheng-You

“…Membrane proteins are encoded by approximately a quarter of human genes. Inter-chain residue-residue contact information is important for structure prediction…”
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Efficient 3D conformer generation of cyclic peptides formed by a disulfide bond by Tao, Huanyu, Wu, Qilong, Zhao, Xuejun, Lin, Peicong, Huang, Sheng-You

“…Cyclic peptides formed by disulfide bonds have been one large group of common drug candidates in drug development. Structural information of a peptide is…”
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Deep learning in modeling protein complex structures: From contact prediction to end-to-end approaches by Lin, Peicong, Li, Hao, Huang, Sheng-You

“…Protein–protein interactions play crucial roles in many biological processes. Traditionally, protein complex structures are normally built by protein–protein…”
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TRScore: a 3D RepVGG-based scoring method for ranking protein docking models by Guo, Linyuan, He, Jiahua, Lin, Peicong, Huang, Sheng-You, Wang, Jianxin

“…Abstract Motivation Protein–protein interactions (PPI) play important roles in cellular activities. Due to the technical difficulty and high cost of…”
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Docking cyclic peptides formed by a disulfide bond through a hierarchical strategy by Tao, Huanyu, Zhao, Xuejun, Zhang, Keqiong, Lin, Peicong, Huang, Sheng-You

“…Abstract Motivation Cyclization is a common strategy to enhance the therapeutic potential of peptides. Many cyclic peptide drugs have been approved for…”
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DeepHomo2.0: improved protein–protein contact prediction of homodimers by transformer-enhanced deep learning by Lin, Peicong, Yan, Yumeng, Huang, Sheng-You

“…Abstract Protein–protein interactions play an important role in many biological processes. However, although structure prediction for monomer proteins has…”
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Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment by Mauri, Théo, Nadzirin, Nurul, Velankar, Sameer, Chaleil, Raphael A. G., Bates, Paul A., Kong, Ren, Liu, Bin, Yang, Guangbo, Liu, Ming, Shi, Hang, Lu, Xufeng, Chang, Shan, Roy, Raj S., Quadir, Farhan, Antoniak, Anna, Czaplewski, Cezary, Giełdoń, Artur, Kogut, Mateusz, Lipska, Agnieszka G., Liwo, Adam, Maszota‐Zieleniak, Martyna, Sieradzan, Adam K., Ślusarz, Rafał, Wesołowski, Patryk A., Zięba, Karolina, Del Carpio Muñoz, Carlos A., Ichiishi, Eiichiro, Harmalkar, Ameya, Gray, Jeffrey J., Ambrosetti, Francesco, Vargas Honorato, Rodrigo, Jandova, Zuzana, Jiménez‐García, Brian, Koukos, Panagiotis I., Van Keulen, Siri, Van Noort, Charlotte W., Réau, Manon, Roel‐Touris, Jorge, Kotelnikov, Sergei, Padhorny, Dzmitry, Porter, Kathryn A., Alekseenko, Andrey, Ignatov, Mikhail, Desta, Israel, Ashizawa, Ryota, Sun, Zhuyezi, Ghani, Usman, Hashemi, Nasser, Vajda, Sandor, Kozakov, Dima, Rosell, Mireia, Rodríguez‐Lumbreras, Luis A., Fernandez‐Recio, Juan, Karczynska, Agnieszka, Grudinin, Sergei, Yan, Yumeng, Li, Hao, Lin, Peicong, Huang, Sheng‐You, Christoffer, Charles, Terashi, Genki, Verburgt, Jacob, Sarkar, Daipayan, Aderinwale, Tunde, Wang, Xiao, Kihara, Daisuke, Nakamura, Tsukasa, Hanazono, Yuya, Gowthaman, Ragul, Guest, Johnathan D., Yin, Rui, Taherzadeh, Ghazaleh, Pierce, Brian G., Cao, Zhen, Cavallo, Luigi, Oliva, Romina, Sun, Yuanfei, Zhu, Shaowen, Shen, Yang, Park, Taeyong, Woo, Hyeonuk, Yang, Jinsol, Kwon, Sohee, Won, Jonghun, Seok, Chaok, Kiyota, Yasuomi, Kobayashi, Shinpei, Harada, Yoshiki, Takeda‐Shitaka, Mayuko, Kundrotas, Petras J., Vakser, Ilya A., Dapkūnas, Justas, Olechnovič, Kliment, Venclovas, Česlovas, Duan, Rui, Qiu, Liming, Xu, Xianjin, Zhang, Shuang, Zou, Xiaoqin, Wodak, Shoshana J.

“…We present the results for CAPRI Round 50, the fourth joint CASP‐CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets,…”
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Challenges and opportunities of automated protein‐protein docking: HDOCK server vs human predictions in CAPRI Rounds 38‐46 by Yan, Yumeng, He, Jiahua, Feng, Yuyu, Lin, Peicong, Tao, Huanyu, Huang, Sheng‐You

“…Protein‐protein docking plays an important role in the computational prediction of the complex structure between two proteins. For years, a variety of docking…”
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Protein–protein contact prediction by geometric triangle-aware protein language models by Lin, Peicong, Tao, Huanyu, Li, Hao, Huang, Sheng-You

“…Information regarding the residue–residue distance between interacting proteins is important for modelling the structures of protein complexes, as well as…”
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TRScore: a three-dimensional RepVGG-based scoring method for ranking protein docking models by Guo, Linyuan, He, Jiahua, Lin, Peicong, Huang, Sheng-You, Wang, Jianxin

“…Protein-protein interactions (PPI) play important roles in cellular activities. Due to the technical difficulty and high cost of experimental methods, there…”
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