Correlations of Amino Acids with Secondary Structure Types: Connection with Amino Acid Structure
Sasa Malkov, Miodrag V. Zivkovic, Milos V. Beljanski, Snezana D. Zaric
Abstract
The correlations of primary and secondary structures were analyzed using proteins with known structure from Protein Data Bank. The correlation values of amino acid type and the eight secondary structure types at distant position were calculated for distances between -25 and 25. Shapes of the diagrams indicate that amino acids polarity and capability for hydrogen bonding have influence on the secondary structure at some distances. Clear preference of most of the amino acids towards certain secondary structure type classifies amino acids into four groups: alpha-helix admirers, strand admirers, turn and bend admirers and the others. Group four consists of His and Cis, the amino acids that do not show clear preference for any secondary structure. Amino acids from a group have similar physicochemical properties, and the same structural characteristics. The results suggest that amino acid preference for secondary structure type is based on the structural characteristics at Cb and Cg atoms of amino acid. alpha-helix admirers do not have polar heteroatoms on Cb and Cg atoms, nor branching or aromatic group on Cb atom. Amino acids that have aromatic groups or branching on Cb atom are strand admirers. Turn and bend admirers have polar heteroatom on Cb or Cg atoms or do not have Cb atom at all. Our results indicate that polarity and capability for hydrogen bonding have influence on the secondary structure at some distance, and that amino acid preference for secondary structure is caused by structural properties at Cb or Cg atoms.
Create a lesson
Related papers
SaltyMeta: a curated benchmark and protein language model-informed web tool for salty peptide prediction
Wanchao Chen, Wen Li, Yanan He et al.
Exploring Optimal Parameters for Ligand-Based Virtual Screening in Early Drug Discovery
Temitope Sobodu, Victor Chibuzor Johnson, Ryan Kern et al.
Synthesizing State-of-the-Art Structure Predictions from Soup of Co-folding Models
Hyosoon Jang, Taewon Kim, Sungsoo Ahn
Sequence-Informed Geometric Evaluation of RNA 3D Structures
Andrea Zerio, Yighua Yao, Alessandro Micheli et al.
Multi-ligand simultaneous docking of Carica papaya leaf phytochemicals, Carpaine and Rutin, reveals multi-mechanism inhibition of cancer proteins BCL-2 and WWP1
Merla Sudha, Asmita Saha, Belaguppa Manjunath Ashwin Desai et al.
Predicting directional flexibility in proteins
Vsevolod Viliuga, Leif Seute, Matteo Tadiello et al.