2020
DOI: 10.1021/acs.jcim.0c00582
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Protein Surface Printer for Exploring Protein Domains

Abstract: The surface of proteins is vital in determining protein functions. Herein, a program, Protein Surface Printer(PSP), is built that performs multiple functions in quantifying protein surface domains. Two proteins, PETase and cytochrome P450, are used to validate that the program supports atomistic simulations with different combinations of programs and force fields. A case study is conducted on the structural analysis of the spike proteins of SARS-CoV-2 and SARS-CoV, and the human cell receptor ACE2.Although the… Show more

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Cited by 3 publications
(2 citation statements)
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“…Indeed, to achieve protein coassembly with random copolymers into various structures, from hydrogels to single-protein encapsulation, the monomer chemical composition for specific protein surface domains is required, as well as understanding the cooperative interactions between the different chemical groups. Sophisticated computational algorithms have shown a great ability to quickly classify the protein surface domains; however, a synergistic and chemically precise analysis on the interactions among enzymes and polymers in an aqueous solution is still lacking, which is strongly suggested to address a more rational design of direct enzyme–random copolymer self-assembly.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, to achieve protein coassembly with random copolymers into various structures, from hydrogels to single-protein encapsulation, the monomer chemical composition for specific protein surface domains is required, as well as understanding the cooperative interactions between the different chemical groups. Sophisticated computational algorithms have shown a great ability to quickly classify the protein surface domains; however, a synergistic and chemically precise analysis on the interactions among enzymes and polymers in an aqueous solution is still lacking, which is strongly suggested to address a more rational design of direct enzyme–random copolymer self-assembly.…”
Section: Introductionmentioning
confidence: 99%
“…The binding energy between trypsin molecules and the NP was calculated with the gmx energy tool. The compositions of the trypsin binding domains were analyzed with our recently developed program Protein Surface Printer 47 . The results indicated there were no preference for binding orientations of trypsin.…”
mentioning
confidence: 99%