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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

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...
Ligand Binding Sites02:40

Ligand Binding Sites

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...
Conserved Binding Sites01:49

Conserved Binding Sites

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 analyses the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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 the...
Allosteric Proteins-ATCase01:19

Allosteric Proteins-ATCase

Binding sites linkages can regulate a protein's function.  For example, enzyme activity is often regulated through a feedback mechanism where the end product of the biochemical process serves as an inhibitor.
Aspartate transcarbamoylase (ATCase) is a cytosolic enzyme that catalyzes the condensation of L-aspartate and carbamoyl phosphate to  N-carbamoyl-L-aspartate. This reaction is the first step in pyrimidine biosynthesis. UTP and CTP, the end products of the pyrimidine synthesis pathway,...

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Related Experiment Video

Updated: Jun 13, 2026

Site-Specific Lysine Lactylation via Genetic Code Expansion in E. coli and Mammalian Cells
05:58

Site-Specific Lysine Lactylation via Genetic Code Expansion in E. coli and Mammalian Cells

Published on: February 24, 2026

Data Resources and Computational Methods for Lactylation Site Prediction: A Mini-Review.

Cong Wang1, Ye Pan2, Yunlong Wu1

  • 1Data and Informatization Department, Jiangsu University, Zhenjiang 212013, China.

International Journal of Molecular Sciences
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

Lysine lactylation (Kla), a new epigenetic regulator, links metabolism to gene expression. This review covers computational tools for predicting Kla sites and its role in diseases like cancer.

Keywords:
computational predictiondeep learninglysine lactylationmachine learningpost-translational modification

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Area of Science:

  • Biochemistry
  • Epigenetics
  • Systems Biology

Background:

  • Lysine lactylation (Kla) is a recently discovered post-translational modification (PTM) linking cellular metabolism and epigenetic regulation.
  • Kla plays significant roles in various physiological and pathological processes, including major human diseases.

Purpose of the Study:

  • To review computational methods and data resources for predicting lysine lactylation sites.
  • To summarize the biological roles of Kla in diseases such as cancers, cardiovascular diseases, and neurological diseases.
  • To provide an overview of existing Kla site prediction models.

Main Methods:

  • Literature review of computational prediction models for Kla sites.
  • Analysis of dataset construction, methodological principles, and evaluation metrics for prediction models.
  • Summary of biological functions and disease associations of Kla.

Main Results:

  • Computational models offer efficient alternatives to traditional experimental methods for identifying Kla sites.
  • Kla is implicated in the pathogenesis of cancers, cardiovascular diseases, and neurological disorders.
  • Seven Kla site prediction models were reviewed, detailing their approaches and performance.

Conclusions:

  • Computational prediction of Kla sites is crucial for high-throughput screening and understanding Kla's biological roles.
  • Further development of prediction models and exploration of Kla's functions in diseases are warranted.
  • This review provides a comprehensive resource for researchers in the field of lysine lactylation.