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Protein-protein Interfaces

Protein-protein Interfaces

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 polypeptide...

Protein Networks

Protein Networks

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.
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Conserved Binding Sites

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.
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Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.

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An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Computational approaches to predicting essential proteins: a survey.

Jianxin Wang¹, Wei Peng, Fang-Xiang Wu

¹School of Information Science and Engineering, Central South University, Changsha, China. jxwang@mail.csu.edu.cn

Proteomics. Clinical Applications

|November 21, 2012

Summary

Identifying essential proteins is crucial for synthetic biology and drug discovery. This review covers computational methods for detecting these vital proteins, complementing expensive experimental approaches.

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An Integrated Approach for Microprotein Identification and Sequence Analysis

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A Protocol for Computer-Based Protein Structure and Function Prediction

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Published on: November 3, 2011

Area of Science:

Molecular Biology
Bioinformatics
Synthetic Biology

Background:

Essential proteins are vital for cellular survival and function.
Identifying essential proteins aids synthetic biology and disease-targeted therapies (e.g., cancer, infectious diseases).
Experimental identification of essential proteins is costly and time-consuming.

Purpose of the Study:

To review state-of-the-art computational techniques for essential protein detection.
To highlight the growing gap between genomic data and experimental essential protein data.
To discuss future research challenges in computational essential protein identification.

Main Methods:

Review of existing literature on computational approaches for essential protein detection.
Analysis of various protein features utilized in computational methods.
Discussion of the advantages of computational over experimental methods.

Main Results:

Computational methods offer a cost-effective and efficient complement to experimental identification of essential proteins.
Numerous computational approaches leverage diverse protein features to predict essentiality.
A significant gap exists between available genomic sequence data and experimentally validated essential protein data.

Conclusions:

Computational detection of essential proteins is a valuable tool, especially given the limitations of experimental methods.
Further research is needed to address challenges in computational essential protein identification.
Accurate identification of essential proteins has broad implications for fundamental biology and medicine.