Phe, Tyr, and Trp
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Beschrijving
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This study presents an in-depth conformational analysis of three aromatic amino acids tryptophan, phenylalanine, and tyrosine along with their ionic and zwitterionic forms, using first-principles calculations. For each amino acid, extensive potential energy surface scans revealed numerous stable conformers, including over 50 unique dimeric structures for each. Stabilization of these structures arises from a rich interplay of noncovalent interactions such as hydrogen bonds (especially NH-O), ¿-¿ stacking, CH-¿, NH-¿, and OH-¿ interactions. Monomeric forms favored conformations with strong intramolecular hydrogen bonding, while dimeric forms demonstrated a balance between hydrogen bonding and aromatic interactions. Atoms-in-molecules analysis provided further insight into the strength and nature of these interactions. Comparative observations with Protein Data Bank structures highlighted geometry-dependent preferences: ¿-¿ stacking dominates at close range, while T-shaped CH-¿ interactions are more prevalent at longer distances. These findings illuminate the intricate noncovalent landscape shaping amino acid conformations in biological systems.
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This study presents an in-depth conformational analysis of three aromatic amino acids tryptophan, phenylalanine, and tyrosine along with their ionic and zwitterionic forms, using first-principles calculations. For each amino acid, extensive potential energy surface scans revealed numerous stable conformers, including over 50 unique dimeric structures for each. Stabilization of these structures arises from a rich interplay of noncovalent interactions such as hydrogen bonds (especially NH-O), ¿-¿ stacking, CH-¿, NH-¿, and OH-¿ interactions. Monomeric forms favored conformations with strong intramolecular hydrogen bonding, while dimeric forms demonstrated a balance between hydrogen bonding and aromatic interactions. Atoms-in-molecules analysis provided further insight into the strength and nature of these interactions. Comparative observations with Protein Data Bank structures highlighted geometry-dependent preferences: ¿-¿ stacking dominates at close range, while T-shaped CH-¿ interactions are more prevalent at longer distances. These findings illuminate the intricate noncovalent landscape shaping amino acid conformations in biological systems.
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