Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Selecting a processor for computations in molecular biophysics.

P E Bourne1, W A Hendrickson

  • 1Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032.

Computers in Biology and Medicine
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Real-world evidence from over one million COVID-19 vaccinations is consistent with reactivation of the varicella-zoster virus.

Journal of the European Academy of Dermatology and Venereology : JEADV·2022
Same author

Optics Concept for a Pair of Undulator Beamlines for MX.

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment·2011
Same author

Diffraction analysis of motion in proteins.

Biophysical journal·2009
Same author

A case study of high-throughput biological data processing on parallel platforms.

Bioinformatics (Oxford, England)·2004
Same author

The status of structural genomics defined through the analysis of current targets and structures.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2004
Same author

The apoptosis database.

Cell death and differentiation·2003
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
Same journal

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

Computers in biology and medicine·2026
Same journal

A computational model of chemically- and mechanically-induced thrombus formation in cerebral aneurysms.

Computers in biology and medicine·2026
Same journal

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Computers in biology and medicine·2026
Same journal

Assessing the robustness of evaluation metrics for synthetic ECG signal quality.

Computers in biology and medicine·2026
See all related articles

Low-cost, high-performance processors offer new computational power. This enables faster solutions and larger-scale molecular biophysics problems, like protein structure refinement from X-ray crystallography.

Area of Science:

  • Computational science
  • Molecular biophysics
  • Structural biology

Background:

  • Emergence of affordable processors with supercomputer-level architecture.
  • Increased computational capacity for complex scientific problems.

Purpose of the Study:

  • To overview novel low-cost processors.
  • To discuss their implications for molecular biophysics computations.
  • To present benchmark results for protein structure refinement.

Main Methods:

  • Overview of advanced processor architectures.
  • Benchmark testing using protein structure refinement.
  • Analysis of X-ray crystallographic data.

Main Results:

  • Demonstration of reduced computation times for specific problems.

Related Experiment Videos

  • Feasibility of tackling previously intractable large-scale problems.
  • Successful application in protein structure refinement.
  • Conclusions:

    • New processors significantly enhance computational capabilities in molecular biophysics.
    • Accelerated structure refinement from X-ray data is achievable.
    • Cost-effective hardware democratizes advanced computational research.