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Biology and Biochemistry

D-Index
73
Citations
75767
World Ranking
5775
National Ranking
2729

Overview

David S. Goodsell is affiliated with Rutgers, The State University of New Jersey in the United States. Their research contributions span multiple areas within biochemistry, genetics, and molecular biology, with a significant emphasis on molecular biology.

Their publication record includes work featured in several scientific journals, reflecting a focus on protein structure, enzyme function, and computational biology. Key publication venues for Goodsell include:

  • RCSB Protein Data Bank
  • Protein Science
  • Structural Dynamics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nucleic Acids Research

Goodsell's research topics highlight an interdisciplinary approach, involving:

  • Protein Structure and Dynamics
  • Genetics, Bioinformatics, and Biomedical Research
  • Enzyme Structure and Function
  • Bioinformatics and Genomic Networks
  • SARS-CoV-2 and COVID-19 Research
  • RNA and protein synthesis mechanisms
  • Vaccines and immunoinformatics approaches

Their recent scholarly articles include:

  • "RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences" (2020, Nucleic Acids Research)
  • "RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning" (2022, Nucleic Acids Research)
  • "Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physics" (2021, Journal of Molecular Biology)
  • "The AutoDock suite at 30" (2020, Protein Science)
  • "RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D" (2021, Protein Science)

Frequent collaborators include:

  • S.K. Burley
  • Christine Zardecki
  • Shuchismita Dutta
  • Maria Voigt
  • Brian P. Hudson

Best Publications

  • AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility

    Garrett M. Morris;Ruth Huey;William Lindstrom;Michel F. Sanner

  • Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function

    Garrett M. Morris;David S. Goodsell;Robert S. Halliday;Ruth Huey

  • A semiempirical free energy force field with charge-based desolvation.

    Ruth Huey;Garrett M. Morris;Arthur J. Olson;David S. Goodsell

  • Computational protein–ligand docking and virtual drug screening with the AutoDock suite

    Stefano Forli;Ruth Huey;Michael E Pique;Michel F Sanner

  • Automated docking of flexible ligands: applications of AutoDock.

    David S. Goodsell;Garrett M. Morris;Arthur J. Olson

  • Automated docking of substrates to proteins by simulated annealing.

    David S. Goodsell;Arthur J. Olson

  • RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.

    Stephen K. Burley;Charmi Bhikadiya;Chunxiao Bi;Sebastian Bittrich

  • Distributed automated docking of flexible ligands to proteins: parallel applications of AutoDock 2.4.

    Garrett M. Morris;David S. Goodsell;Ruth Huey;Arthur J. Olson

  • The molecular origin of DNA-drug specificity in netropsin and distamycin

    Mary L. Kopka;Chun Yoon;David Goodsell;Philip Pjura

  • Protein Data Bank: the single global archive for 3D macromolecular structure data

    Stephen K Burley;Helen M Berman;Charmi Bhikadiya

  • RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.

    Stephen K. Burley;Helen M. Berman;Charmi Bhikadiya;Chunxiao Bi

  • Structural symmetry and protein function

    David S. Goodsell;Arthur J. Olson

  • The RCSB protein data bank: integrative view of protein, gene and 3D structural information

    Peter W. Rose;Andreas Prlić;Ali Altunkaya;Chunxiao Bi

  • Virtual Screening with AutoDock: Theory and Practice.

    Sandro Cosconati;Stefano Forli;Alex L Perryman;Rodney Harris

  • The RCSB Protein Data Bank: redesigned web site and web services

    Peter W. Rose;Bojan Beran;Chunxiao Bi;Wolfgang F. Bluhm

  • Automated docking to multiple target structures: incorporation of protein mobility and structural water heterogeneity in AutoDock.

    Fredrik Österberg;Garrett M. Morris;Michel F. Sanner;Arthur J. Olson

  • Bionanotechnology: Lessons from Nature

    David S. Goodsell

  • The RCSB Protein Data Bank: views of structural biology for basic and applied research and education

    Peter W. Rose;Andreas Prlić;Chunxiao Bi;Wolfgang F. Bluhm

  • Binding of an antitumor drug to DNA, Netropsin and C-G-C-G-A-A-T-T-BrC-G-C-G.

    Mary L. Kopka;Chun Yoon;David Goodsell;Philip Pjura

  • The RCSB Protein Data Bank: new resources for research and education

    Peter W. Rose;Chunxiao Bi;Wolfgang F. Bluhm;Cole H. Christie

Frequent Co-Authors

Arthur J. Olson
Arthur J. Olson Scripps Research Institute
Richard E. Dickerson
Richard E. Dickerson University of California, Los Angeles
Stephen K. Burley
Stephen K. Burley Rutgers, The State University of New Jersey
Helen M. Berman
Helen M. Berman Rutgers, The State University of New Jersey
John D. Westbrook
John D. Westbrook Rutgers, The State University of New Jersey
Ivan Viola
Ivan Viola King Abdullah University of Science and Technology
Philip E. Bourne
Philip E. Bourne University of Virginia
Richard K. Belew
Richard K. Belew University of California, San Diego
Andreas Prlić
Andreas Prlić Invitae (United States)
Duilio Cascio
Duilio Cascio University of California, Los Angeles

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