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

Coarse and reliable geometric alignment for protein docking.

Y Wang1, P K Agarwal, P Brown

  • 1Department of Computer Science, Duke University, Durham, North Carolina, USA.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|March 12, 2005
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

Collaborating across sectors in service of open science, precision oncology, and patients: an overview of the AACR Project GENIE (Genomics Evidence Neoplasia Information Exchange) Biopharma Collaborative (BPC).

ESMO real world data and digital oncology·2026
Same author

What can tennis doubles teach us about medical dyads? Translating collaborative expertise into medical education.

Medical teacher·2026
Same author

[Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].

Urologie (Heidelberg, Germany)·2026
Same author

Simultaneous direct measurement of the electrocaloric and dielectric dynamics of ferroelectrics with microsecond temporal resolution.

The Review of scientific instruments·2023
Same author

Using δ<sup>13</sup>C of Levoglucosan As a Chemical Clock.

Environmental science & technology·2018
Same author

[Unusual cause of recurrent gluteal abscess formation].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen·2017

We developed an efficient algorithm for protein docking, generating coarse alignments using surface features. This method effectively predicts protein complex structures for both bound and unbound states.

Area of Science:

  • Computational biology
  • Structural biology
  • Biophysics

Background:

  • Protein-protein interactions are crucial for cellular functions.
  • Accurate prediction of protein complex structures is essential for understanding biological mechanisms.
  • Existing protein docking methods face challenges with speed and accuracy, especially for flexible proteins.

Purpose of the Study:

  • To present an efficient algorithm for generating coarse alignments of interacting proteins.
  • To utilize meaningful surface features for predicting protein complex structures.
  • To provide a foundation for local refinement algorithms that incorporate protein flexibility.

Main Methods:

  • Developed an efficient algorithm treating proteins as rigid bodies.
  • Employed meaningful surface features for alignment generation.

Related Experiment Videos

  • Applied the algorithm to diverse protein complexes from the Protein Data Bank.

    • Main Results:

    • Successfully generated small sets of coarse alignments for interacting proteins.
    • Demonstrated the algorithm's effectiveness on both bound and unbound protein docking problems.
    • Validated the approach using a diverse dataset of protein complexes.

    Conclusions:

    • The presented algorithm offers an efficient approach to protein docking.
    • The generated coarse alignments serve as valuable input for flexible docking refinement.
    • The method shows significant promise for predicting protein complex structures in various biological contexts.