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Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling
Title
Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment..
Creator
Lensink, Marc F, Velankar, Sameer, Kryshtafovych, Andriy, Huang, Shen-You, Schneidman-Duhovny, Dina, Sali, Andrej, Segura, Joan, Fernandez-Fuentes, Narcis, Viswanath, Shruthi,...
Show moreLensink, Marc F, Velankar, Sameer, Kryshtafovych, Andriy, Huang, Shen-You, Schneidman-Duhovny, Dina, Sali, Andrej, Segura, Joan, Fernandez-Fuentes, Narcis, Viswanath, Shruthi, Elber, Ron, Grudinin, Sergei, Popov, Petr, Neveu, Emilie, Lee, Hasup, Baek, Minkyung, Park, Sangwoo, Heo, Lim, Rie Lee, Gyu, Seok, Chaok, Qin, Sanbo, Zhou, Huan-Xiang, Ritchie, David W, Maigret, Bernard, Devignes, Marie-Dominique, Ghoorah, Anisah, Torchala, Mieczyslaw, Chaleil, Raphaël A G, Bates, Paul A, Ben-Zeev, Efrat, Eisenstein, Miriam, Negi, Surendra S, Weng, Zhiping, Vreven, Thom, Pierce, Brian G, Borrman, Tyler M, Yu, Jinchao, Ochsenbein, Françoise, Guerois, Raphaël, Vangone, Anna, Rodrigues, João P G L M, van Zundert, Gydo, Nellen, Mehdi, Xue, Li, Karaca, Ezgi, Melquiond, Adrien S J, Visscher, Koen, Kastritis, Panagiotis L, Bonvin, Alexandre M J J, Xu, Xianjin, Qiu, Liming, Yan, Chengfei, Li, Jilong, Ma, Zhiwei, Cheng, Jianlin, Zou, Xiaoqin, Shen, Yang, Peterson, Lenna X, Kim, Hyung-Rae, Roy, Amit, Han, Xusi, Esquivel-Rodriguez, Juan, Kihara, Daisuke, Yu, Xiaofeng, Bruce, Neil J, Fuller, Jonathan C, Wade, Rebecca C, Anishchenko, Ivan, Kundrotas, Petras J, Vakser, Ilya A, Imai, Kenichiro, Yamada, Kazunori, Oda, Toshiyuki, Nakamura, Tsukasa, Tomii, Kentaro, Pallara, Chiara, Romero-Durana, Miguel, Jiménez-García, Brian, Moal, Iain H, Férnandez-Recio, Juan, Joung, Jong Young, Kim, Jong Yun, Joo, Keehyoung, Lee, Jooyoung, Kozakov, Dima, Vajda, Sandor, Mottarella, Scott, Hall, David R, Beglov, Dmitri, Mamonov, Artem, Xia, Bing, Bohnuud, Tanggis, Del Carpio, Carlos A, Ichiishi, Eichiro, Marze, Nicholas, Kuroda, Daisuke, Roy Burman, Shourya S, Gray, Jeffrey J, Chermak, Edrisse, Cavallo, Luigi, Oliva, Romina, Tovchigrechko, Andrey, Wodak, Shoshana J
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Abstract/Description
We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein-protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24...
Show moreWe present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein-protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24 CAPRI groups and 7 CASP groups submitted docking predictions for each target, and 12 CAPRI groups per target participated in the CAPRI scoring experiment. In total more than 9500 models were assessed against the 3D structures of the corresponding target complexes. Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations. Targets with ambiguous or inaccurate oligomeric state assignments, often featuring crystal contact-sized interfaces, represented a confounding factor. For those, a much poorer prediction performance was achieved, while nonetheless often providing helpful clues on the correct oligomeric state of the protein. The prediction performance was very poor for genuine tetrameric targets, where the inaccuracy of the homology-built subunit models and the smaller pair-wise interfaces severely limited the ability to derive the correct assembly mode. Our analysis also shows that docking procedures tend to perform better than standard homology modeling techniques and that highly accurate models of the protein components are not always required to identify their association modes with acceptable accuracy. Proteins 2016; 84(Suppl 1):323-348. © 2016 Wiley Periodicals, Inc.
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Date Issued
2016-09-01
Identifier
FSU_pmch_27122118, 10.1002/prot.25007, PMC5030136, 27122118, 27122118
Format
Citation
Electrostatic effects on the folding stability of FKBP12.
Title
Electrostatic effects on the folding stability of FKBP12.
Creator
Batra, Jyotica, Tjong, Harianto, Zhou, Huan-Xiang
Abstract/Description
The roles of electrostatic interactions in protein folding stability have been a matter of debate, largely due to the complexity in the theoretical treatment of these interactions. We have developed computational methods for calculating electrostatic effects on protein folding stability. To rigorously test and further refine these methods, here we carried out experimental studies into electrostatic effects on the folding stability of the human 12-kD FK506 binding protein (FKBP12). This...
Show moreThe roles of electrostatic interactions in protein folding stability have been a matter of debate, largely due to the complexity in the theoretical treatment of these interactions. We have developed computational methods for calculating electrostatic effects on protein folding stability. To rigorously test and further refine these methods, here we carried out experimental studies into electrostatic effects on the folding stability of the human 12-kD FK506 binding protein (FKBP12). This protein has a close homologue, FKBP12.6, with amino acid substitutions in only 18 of their 107 residues. Of the 18 substitutions, 8 involve charged residues. Upon mutating FKBP12 residues at these 8 positions individually into the counterparts in FKBP12.6, the unfolding free energy (ΔGu) of FKBP12 changed by -0.3 to 0.7 kcal/mol. Accumulating stabilizing substitutions resulted in a mutant with a 0.9 kcal/mol increase in stability. Additional charge mutations were grafted from a thermophilic homologue, MtFKBP17, which aligns to FKBP12 with 31% sequence identity over 89 positions. Eleven such charge mutations were studied, with ΔΔGu varying from -2.9 to 0.1 kcal/mol. The predicted electrostatic effects by our computational methods with refinements herein had a root-mean-square deviation of 0.9 kcal/mol from the experimental ΔΔGu values on 16 single mutations of FKBP12. The difference in ΔΔGu between mutations grafted from FKBP12.6 and those from MtFKBP17 suggests that more distant homologues are less able to provide guidance for enhancing folding stability.
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Date Issued
2016-08-01
Identifier
FSU_pmch_27381026, 10.1093/protein/gzw014, PMC4955870, 27381026, 27381026, gzw014
Format
Citation
Protein folding, binding, and droplet formation in cell-like conditions.
Title
Protein folding, binding, and droplet formation in cell-like conditions.
Creator
Qin, Sanbo, Zhou, Huan-Xiang
Abstract/Description
The many bystander macromolecules in the crowded cellular environments present both steric repulsion and weak attraction to proteins undergoing folding or binding and hence impact the thermodynamic and kinetic properties of these processes. The weak but nonrandom binding with bystander macromolecules may facilitate subcellular localization and biological function. Weak binding also leads to the emergence of a protein-rich droplet phase, which has been implicated in regulating a variety of...
Show moreThe many bystander macromolecules in the crowded cellular environments present both steric repulsion and weak attraction to proteins undergoing folding or binding and hence impact the thermodynamic and kinetic properties of these processes. The weak but nonrandom binding with bystander macromolecules may facilitate subcellular localization and biological function. Weak binding also leads to the emergence of a protein-rich droplet phase, which has been implicated in regulating a variety of cellular functions. All these important problems can now be addressed by realistic modeling of intermolecular interactions. Configurational sampling of concentrated protein solutions is an ongoing challenge.
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Date Issued
2017-04-01
Identifier
FSU_pmch_27771543, 10.1016/j.sbi.2016.10.006, PMC5397379, 27771543, 27771543, S0959-440X(16)30169-5
Format
Citation