Complexation Process Between Amylose and Lysophospholipids Using Molecular Docking and Molecular Dynamics Simulation

ABSTRACT Lysophospholipids (LPLs), as a small proportion of lipids, always interact with amylose in starchy plants and significantly influence the structure of starch. This study investigated the complexing process between amylose and two LPLs (LPC16:0 and LPC18:2). Results showed that the LPLs molecules bound to the central hydrophobic cavity of amylose, and the amylose‐LPL complex (ALC) formed a typical V‐type structure. The amylose‐LPC18:2 complex showed a lower RMSD (21.2 Å) but higher RG (15.4 Å) and SASA (2922.7 Å 2 ) than the amylose‐LPC16:0 complex (25.4 Å of RMSD, 13.2 Å of RG and 2897.8 Å 2 of SASA), indicating a higher effectiveness of LPC16:0 in the flexibility of amylose residues. ALC had a higher potential energy (10.3–15.5 kcal/mol) than single amylose (8.0 kcal/mol). Furthermore, the total 4 C 1 conformation accounted for 97.5–98.8% of the conformation in ALC, which was lower than amylose (99.3%). The amylose‐LPC16:0 complex showed higher intermolecular bonds (399.3 vs. 243.6), O 2 –O 3 hydrogen bonds (746.9 vs. 679.5) and O 2 /O 3 –O 6 hydrogen bonds (256.0 vs. 199.0) than the amylose‐LPC18:2 complex. The intermolecular and intramolecular forces between amylose and LPLs molecules were primarily due to hydrophobicity and hydrogen bonds. These results provided an overview of the possible complexation process between native amylose and individual LPLs molecules in starchy plants.

Authors

Institutions

Publication Details

Journal
Starch - Stärke
Published
2026-02-01
DOI
https://doi.org/10.1002/star.70168
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Complexation Process Between Amylose and Lysophospholipids Using Molecular Docking and Molecular Dynamics Simulation

Yi Wu, Hangjun CHEN, Zheng Ma, Rubing Deng et al.
Starch - Stärke
Food composition and properties
article

Complexation Process Between Amylose and Lysophospholipids Using Molecular Docking and Molecular Dynamics Simulation

Yi Wu, Hangjun CHEN, Zheng Ma, Rubing Deng, Haiyan Gao, Chuan Tong
article en

Abstract

ABSTRACT Lysophospholipids (LPLs), as a small proportion of lipids, always interact with amylose in starchy plants and significantly influence the structure of starch. This study investigated the complexing process between amylose and two LPLs (LPC16:0 and LPC18:2). Results showed that the LPLs molecules bound to the central hydrophobic cavity of amylose, and the amylose‐LPL complex (ALC) formed a typical V‐type structure. The amylose‐LPC18:2 complex showed a lower RMSD (21.2 Å) but higher RG (15.4 Å) and SASA (2922.7 Å 2 ) than the amylose‐LPC16:0 complex (25.4 Å of RMSD, 13.2 Å of RG and 2897.8 Å 2 of SASA), indicating a higher effectiveness of LPC16:0 in the flexibility of amylose residues. ALC had a higher potential energy (10.3–15.5 kcal/mol) than single amylose (8.0 kcal/mol). Furthermore, the total 4 C 1 conformation accounted for 97.5–98.8% of the conformation in ALC, which was lower than amylose (99.3%). The amylose‐LPC16:0 complex showed higher intermolecular bonds (399.3 vs. 243.6), O 2 –O 3 hydrogen bonds (746.9 vs. 679.5) and O 2 /O 3 –O 6 hydrogen bonds (256.0 vs. 199.0) than the amylose‐LPC18:2 complex. The intermolecular and intramolecular forces between amylose and LPLs molecules were primarily due to hydrophobicity and hydrogen bonds. These results provided an overview of the possible complexation process between native amylose and individual LPLs molecules in starchy plants.

Starch - StärkeVol. 78(2)
ZheJiang Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 62%
Food composition and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.