Val-Leu pairs two hydrophobic residues that encourage side-chain packing and early folding events. The dipeptide serves as a probe for hydrophobic interactions and solvent accessibility. Researchers evaluate its conformational energy landscape. Applications include peptide assembly studies, enzymatic recognition, and structural modeling.
CAT No: R2666
CAS No:3989-97-7
Synonyms/Alias:H-Val-Leu-OH;Val-Leu;Valylleucine;3989-97-7;L-valyl-L-leucine;Valyl-Leucine;CHEBI:75013;(2S)-2-[[(2S)-2-amino-3-methylbutanoyl]amino]-4-methylpentanoic acid;DTXSID00874268;L-Val-L-Leu;(S)-2-((S)-2-Amino-3-methylbutanamido)-4-methylpentanoic acid;VL dipeptide;V-L Dipeptide;Valine Leucine dipeptide;Valine-Leucine dipeptide;SCHEMBL79236;CHEMBL55044;DTXCID00863258;HY-P4668;Vl;AKOS010420854;DA-64307;CS-0655775;NS00049416;Q27145072;
Val-Leu, also known as Valylleucine, is a synthetic dipeptide composed of the amino acids valine and leucine linked by a peptide bond. As a member of the dipeptide family, it serves as a valuable biochemical tool in peptide research and structural studies due to its well-defined sequence and physicochemical properties. The combination of two branched-chain amino acids in this dipeptide provides a model system for investigating peptide conformation, stability, and interactions relevant to protein science and enzymology. Its defined structure and ease of incorporation into experimental systems make it a popular choice for researchers exploring the fundamentals of peptide chemistry, enzymatic specificity, and molecular recognition.
Peptide structure and folding studies: Valylleucine is commonly utilized to probe the conformational tendencies and folding behaviors of short peptides. Due to the hydrophobic nature of both valine and leucine side chains, this dipeptide serves as a model for examining how nonpolar residues influence secondary structure formation and peptide aggregation. Such insights are critical for understanding the driving forces behind protein folding, misfolding, and the formation of amyloid-like aggregates in a controlled, simplified context.
Enzymatic substrate specificity: The dipeptide is frequently employed in enzymology to assess the substrate preferences of proteases and peptidases. By offering a minimal yet defined sequence, Val-Leu allows researchers to dissect the cleavage efficiency and recognition patterns of various proteolytic enzymes. These studies contribute to mapping active site requirements, elucidating catalytic mechanisms, and developing selective enzyme inhibitors or activity assays for research and screening applications.
Peptide synthesis optimization: In the context of synthetic chemistry, Valylleucine is used as a reference compound to evaluate coupling reagents, protecting group strategies, and purification protocols in solid-phase and solution-phase peptide synthesis. Its straightforward sequence and representative side-chain properties make it an ideal test case for optimizing reaction conditions, troubleshooting synthetic challenges, and benchmarking analytical methodologies in peptide production workflows.
Transport and absorption research: The dipeptide is relevant in studies of peptide transporters, particularly those involved in the uptake of small peptides across biological membranes. By serving as a model substrate for peptide transporter assays, it enables the investigation of dipeptide absorption mechanisms, transporter specificity, and competitive inhibition phenomena. Such research is valuable for understanding nutrient assimilation, drug delivery strategies, and the design of transporter-targeted compounds.
Analytical method development: Valylleucine is also employed as a calibration standard or reference material in chromatographic and mass spectrometric analyses of peptides. Its defined composition and predictable retention behavior facilitate the validation and optimization of separation techniques, detection protocols, and quantitative assays for peptide mixtures. This application supports the development of robust analytical platforms for peptide characterization in research, quality control, and process monitoring environments.
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