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

Prediction of multimolecular assemblies by multiple docking.

Yuval Inbar1, Hadar Benyamini, Ruth Nussinov

  • 1School of Computer Science, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel. inbaryuv@tau.ac.il

Journal of Molecular Biology
|May 14, 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

CD59 drives diet-induced obesity and glucose intolerance, insulin resistance, and metabolic dysfunction-associated steatotic liver disease.

npj metabolic health and disease·2026
Same author

Gestational Ketosis Compromises Nephron Endowment and Long-Term Kidney Function in Offspring.

Journal of the American Society of Nephrology : JASN·2026
Same author

Corrigendum to "The paradoxical protective effect of chronic stress on advanced Alzheimer's disease pathology". [Brain, Behav., Immun. 132 (2026) 106224].

Brain, behavior, and immunity·2026
Same author

Colloid-patterned surfaces distinguish malignant mechanophenotypes.

Materials today. Bio·2026
Same author

The paradoxical protective effect of chronic stress on advanced Alzheimer's disease pathology.

Brain, behavior, and immunity·2025
Same author

Blockade of Interleukin-6 Trans-signaling in the Presence of Certain Gut Microbiota Induces Mature-onset Obesity in Mice.

Gastro hep advances·2025
Same journal

Tesorai Search: cloud-based database search engine boosts identifications for mass spectrometry proteomics with a pretrained peptide-spectrum deep-learning model.

Journal of molecular biology·2026
Same journal

Characterization of diverse functions of NRF1 nuclear localization sequence.

Journal of molecular biology·2026
Same journal

UPF3A and UPF3B shape the transcriptome cooperatively yet oppose cell function.

Journal of molecular biology·2026
Same journal

Antibody-secreting cells integrate efficient NMD with non‑canonical UPR signaling to maintain proteostasis and support massive immunoglobulin synthesis.

Journal of molecular biology·2026
Same journal

Small molecule stabilization of diverse amyloidogenic immunoglobulin light chains revealed by hydrogen-deuterium exchange mass spectrometry.

Journal of molecular biology·2026
Same journal

UPF1 at Work: Structural and Mechanistic Insights Into a Master Regulator of Nonsense-Mediated mRNA Decay.

Journal of molecular biology·2026
See all related articles

We developed a new algorithm to predict the structures of protein complexes. This computational method accurately models how multiple proteins assemble, even with unbound subunits, aiding complex structure prediction.

Area of Science:

  • Structural biology
  • Computational biology
  • Biochemistry

Background:

  • Proteins often function within multimolecular assemblies.
  • Predicting the structure of these complexes is challenging due to combinatorial complexity.
  • Traditional docking methods focus on pairwise interactions.

Purpose of the Study:

  • To develop and validate an algorithm for predicting the structures of multimolecular protein assemblies.
  • To extend docking applications beyond pairwise interactions to multi-protein complexes.

Main Methods:

  • Developed a novel algorithm extending docking principles to predict quaternary structures.
  • Applied the algorithm to predict structures of oligomers and multi-protein complexes (3-10 subunits).
  • Tested algorithm robustness using unbound subunit conformations and homology models.

Related Experiment Videos

Main Results:

  • The algorithm successfully predicted near-native arrangements for all tested complexes.
  • Accurate predictions were achieved even when using unbound or modeled subunit conformations.
  • Demonstrated robustness in predicting complex structures from less constrained inputs.

Conclusions:

  • The developed algorithm effectively predicts the quaternary structures of protein complexes.
  • Its robustness with unbound subunits suggests broad applicability in structural biology.
  • This method offers a valuable tool for predicting large macromolecular assembly structures, complementing experimental techniques.