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

Electrostatics in computational protein design.

Christina L Vizcarra1, Stephen L Mayo

  • 1Division of Chemistry and Chemical Engineering, Division of Biology and Howard Hughes Medical Institute, California Institute of Technology, Pasadena, California 91125, USA.

Current Opinion in Chemical Biology
|November 1, 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

Hydrogel Encapsulation of a Designed Fluorescent Protein Biosensor for Continuous Measurements of Sub-100 nM Nicotine.

ACS applied bio materials·2025
Same author

Recruiting ESCRT to single-chain heterotrimer peptide MHCI releases antigen-presenting vesicles that stimulate T cells selectively.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

CDRxAbs: antibody small-molecule conjugates with computationally designed target-binding synergy.

Protein engineering, design & selection : PEDS·2025
Same author

Continuous Nicotine Monitors for Personal Nicotine Pharmacokinetics: A Receptor-Aware Research Agenda.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco·2025
Same author

An interdisciplinary effort to integrate coding into science courses.

Nature computational science·2024
Same author

Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids.

Protein engineering, design & selection : PEDS·2024
Same journal

Function through shape: An overview of DNA G-quadruplexes in transcriptional regulation.

Current opinion in chemical biology·2026
Same journal

Advances in tools and technologies for multiplexed bioluminescence imaging.

Current opinion in chemical biology·2026
Same journal

High-resolution molecular mapping by expansion-coupled label-free and multimodal imaging.

Current opinion in chemical biology·2026
Same journal

Recent advances in glycoconjugate-based therapeutics.

Current opinion in chemical biology·2026
Same journal

Towards better red emitters for bioimaging: Innovations in rhodamine and cyanine chemistry.

Current opinion in chemical biology·2026
Same journal

Chemigenetic fluorescent biosensors in biological imaging - New trends and advances.

Current opinion in chemical biology·2026
See all related articles

Accurately modeling electrostatics is key for computational protein design, enabling prediction of protein function. This review highlights advances in electrostatic modeling, especially continuum models, for better protein design.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Protein Engineering

Background:

  • Catalytic activity and protein-protein recognition are key challenges in computational protein design.
  • Electrostatic interactions play a critical role in various protein functions.
  • Accurate electrostatic modeling is essential for advancing computational protein design capabilities.

Purpose of the Study:

  • To review recent advancements in modeling electrostatic interactions for computational protein design.
  • To emphasize the application and progress of continuum models in this field.

Main Methods:

  • Review of recent literature on computational protein design.
  • Focus on methodologies for modeling electrostatic interactions.
  • Specific attention to continuum electrostatic models.

Related Experiment Videos

Main Results:

  • Recent progress has been made in accurately modeling electrostatic interactions.
  • Continuum models show particular promise for enhancing protein design.
  • Improved electrostatic modeling directly impacts the ability to design proteins with specific functions.

Conclusions:

  • Accurate electrostatic modeling is fundamental for successful computational protein design.
  • Continued development of electrostatic modeling techniques, particularly continuum models, will drive innovation in protein engineering.
  • Advances in this area are crucial for designing proteins with desired catalytic activity and recognition properties.