List of MeSH codes (D12.776)

From WikiMD's medical encyclopedia

List of MeSH codes (D12.776) refers to a specific category within the Medical Subject Headings (MeSH) system, which is a comprehensive controlled vocabulary for the purpose of indexing journal articles and books in the life sciences. MeSH codes facilitate searching for specific topics across numerous biomedical and life science databases, including PubMed. The D12.776 code pertains to the category of proteins, peptides, and amino acids, which are fundamental components of living organisms and play critical roles in biological processes.

Overview

Proteins, peptides, and amino acids are essential molecules in biology, involved in virtually every process within organisms. Proteins are large, complex molecules that perform many critical functions, including catalyzing metabolic reactions, replicating DNA, responding to stimuli, and transporting molecules. Peptides are shorter chains of amino acids that can act as hormones, neurotransmitters, or as antibiotics. Amino acids are the building blocks of proteins and play various roles in metabolism and as precursors to neurotransmitters and hormones.

Classification

The MeSH code D12.776 encompasses a wide range of topics related to proteins, peptides, and amino acids. This includes, but is not limited to:

Each of these categories further divides into more specific topics, reflecting the diversity and complexity of proteins and their roles in life sciences.

Importance in Research and Medicine

Understanding proteins, peptides, and amino acids is crucial for biomedical research and the development of new medical treatments. Proteins serve as targets for many drugs, and understanding their structure and function can lead to the development of new therapeutics. Peptides are used in drugs for their specificity and low toxicity. Amino acids' metabolism disorders are the subject of medical research, leading to treatments for diseases like phenylketonuria.

Challenges and Future Directions

The study of proteins, peptides, and amino acids is a rapidly evolving field, with new technologies enabling deeper understanding and novel applications. Challenges include predicting protein folding, understanding protein-protein interactions, and designing peptides with therapeutic potential. Future directions may involve more personalized medicine approaches, where understanding an individual's proteome could lead to tailored treatments.

See Also

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Contributors: Prab R. Tumpati, MD