Your browser doesn't support javascript.
Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.
Lubin, Joseph H; Zardecki, Christine; Dolan, Elliott M; Lu, Changpeng; Shen, Zhuofan; Dutta, Shuchismita; Westbrook, John D; Hudson, Brian P; Goodsell, David S; Williams, Jonathan K; Voigt, Maria; Sarma, Vidur; Xie, Lingjun; Venkatachalam, Thejasvi; Arnold, Steven; Alfaro Alvarado, Luz Helena; Catalfano, Kevin; Khan, Aaliyah; McCarthy, Erika; Staggers, Sophia; Tinsley, Brea; Trudeau, Alan; Singh, Jitendra; Whitmore, Lindsey; Zheng, Helen; Benedek, Matthew; Currier, Jenna; Dresel, Mark; Duvvuru, Ashish; Dyszel, Britney; Fingar, Emily; Hennen, Elizabeth M; Kirsch, Michael; Khan, Ali A; Labrie-Cleary, Charlotte; Laporte, Stephanie; Lenkeit, Evan; Martin, Kailey; Orellana, Marilyn; Ortiz-Alvarez de la Campa, Melanie; Paredes, Isaac; Wheeler, Baleigh; Rupert, Allison; Sam, Andrew; See, Katherine; Soto Zapata, Santiago; Craig, Paul A; Hall, Bonnie L; Jiang, Jennifer; Koeppe, Julia R.
  • Lubin JH; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Zardecki C; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Dolan EM; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Lu C; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Shen Z; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Dutta S; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Westbrook JD; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Hudson BP; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Goodsell DS; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Williams JK; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Voigt M; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Sarma V; Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA.
  • Xie L; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Venkatachalam T; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Arnold S; Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA.
  • Alfaro Alvarado LH; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Catalfano K; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Khan A; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • McCarthy E; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Staggers S; Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA.
  • Tinsley B; The Scripps Research Institute, La Jolla, California, USA.
  • Trudeau A; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Singh J; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Whitmore L; Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Zheng H; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Benedek M; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Currier J; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Dresel M; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Duvvuru A; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Dyszel B; Grinnell College, Grinnell, Iowa, USA.
  • Fingar E; University of Notre Dame, Notre Dame, Indiana, USA.
  • Hennen EM; University of Maryland Baltimore County, Baltimore, Maryland, USA.
  • Kirsch M; Stevens Institute of Technology, Hoboken, New Jersey, USA.
  • Khan AA; Frostburg State University, Frostburg, Maryland, USA.
  • Labrie-Cleary C; Youngstown State University, Youngstown, Ohio, USA.
  • Laporte S; University of Central Florida, Orlando, Florida, USA.
  • Lenkeit E; New York City College of Technology, Brooklyn, New York, USA.
  • Martin K; Howard University, Washington, District of Columbia, USA.
  • Orellana M; Watchung Hills Regional High School, Warren, New Jersey, USA.
  • Ortiz-Alvarez de la Campa M; Xavier University, Cincinnati, Ohio, USA.
  • Paredes I; Hope College, Holland, Michigan, USA.
  • Wheeler B; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Rupert A; Hope College, Holland, Michigan, USA.
  • Sam A; Ursinus College, Collegeville, Pennsylvania, USA.
  • See K; SUNY Oswego, Oswego, New York, USA.
  • Soto Zapata S; Roger Williams University, Bristol, Rhode Island, USA.
  • Craig PA; SUNY Oswego, Oswego, New York, USA.
  • Hall BL; SUNY Oswego, Oswego, New York, USA.
  • Jiang J; SUNY Oswego, Oswego, New York, USA.
  • Koeppe JR; Brandeis University, Waltham, Massachusetts, USA.
Proteins ; 90(5): 1054-1080, 2022 05.
Article in English | MEDLINE | ID: covidwho-1826109
ABSTRACT
Understanding the molecular evolution of the SARS-CoV-2 virus as it continues to spread in communities around the globe is important for mitigation and future pandemic preparedness. Three-dimensional structures of SARS-CoV-2 proteins and those of other coronavirusess archived in the Protein Data Bank were used to analyze viral proteome evolution during the first 6 months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48 000 viral isolates revealed how each one of 29 viral proteins have undergone amino acid changes. Catalytic residues in active sites and binding residues in protein-protein interfaces showed modest, but significant, numbers of substitutions, highlighting the mutational robustness of the viral proteome. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for potential drug discovery targets and the four structural proteins that comprise the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and protein-protein and protein-nucleic acid interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Proteins Journal subject: Biochemistry Year: 2022 Document Type: Article Affiliation country: Prot.26250

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Proteins Journal subject: Biochemistry Year: 2022 Document Type: Article Affiliation country: Prot.26250