Jove
Visualize
Contact Us

Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.4K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.8K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
13.8K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
13.5K
Protein Networks02:26

Protein Networks

4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Ligand Binding Sites02:40

Ligand Binding Sites

13.4K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
13.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.9K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Targeting tumor-associated macrophages in pancreatic cancer.

iLIVER·2026
Same author

Tumor microenvironment remodeling in pancreatic cancer liver metastasis.

iLIVER·2025
Same author

Color and Aroma of Plums: Biosynthesis, Regulation, and Interrelationships.

Journal of agricultural and food chemistry·2025
Same author

A novel protein cPFKFB4 encoded by hsa_circ_0065394 strengthens PKM2-mediated glucose metabolic reprogramming to facilitate pancreatic cancer progression under hypoxia.

Molecular cancer·2025
Same author

Disulfidptosis and Enzymatic-Therapy Augmented Cuproptosis via Adding Spear and Discarding Shield Strategy.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Clinical and genetic landscape of optic atrophy in 826 families: insights from 50 nuclear genes.

Brain : a journal of neurology·2024
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same journal

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
See all related articles
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 Video

Updated: Sep 17, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.9K

Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology.

Yuxi Long1, Bruce R Donald1,2

  • 1Department of Computer Science, Department of Mathematics, Duke University, Durham, North Carolina, United States of America.

Plos Computational Biology
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

We developed PATH+, a novel machine learning algorithm for accurate binding affinity prediction (BAP) that is interpretable and generalizable. PATH+ offers improved speed and accuracy for drug design, outperforming existing methods.

More Related Videos

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.0K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.4K

Related Experiment Videos

Last Updated: Sep 17, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.9K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.0K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.4K

Area of Science:

  • Computational chemistry
  • Machine learning
  • Structural biology

Background:

  • Accurate binding affinity prediction (BAP) is essential for structure-based drug design.
  • Current BAP algorithms often lack generalizability and interpretability.

Purpose of the Study:

  • To present PATH+, a novel, generalizable, and interpretable machine learning algorithm for BAP.
  • To improve the speed and accuracy of BAP for drug discovery.

Main Methods:

  • Developed PATH+, a machine learning algorithm leveraging computational topology.
  • Visualized features captured by PATH+ for protein-ligand complexes.
  • Created PATH-, a scoring function for binder/non-binder differentiation.

Main Results:

  • PATH+ demonstrates comparable or superior accuracy and generalizability across datasets compared to existing BAP algorithms.
  • PATH+ is the first inherently interpretable BAP algorithm.
  • PATH+ is over 10 times faster than dominant computational topology algorithms.
  • PATH- shows outstanding accuracy in differentiating binders from non-binders.

Conclusions:

  • PATH+ offers a unique combination of interpretability, speed, and accuracy for BAP.
  • The algorithm empowers topological screening of virtual inhibitor libraries.
  • Open-source code is available, facilitating trust and application in drug design.