Back

Structure Bioinformatics of Eight Human ATP Synthase Fo Subunits and Their AlphaFold3-Predicted Water-Soluble QTY Analogs

Zhang, S.; Wang, Z.; Chen, E.

2026-06-18 bioinformatics
10.64898/2026.06.18.733091 bioRxiv
Show abstract

Human mitochondrial ATP synthase is an essential rotary motor enzyme that produces most of the cellular ATP through oxidative phosphorylation. Its membrane-embedded Fo sector contains highly hydrophobic transmembrane subunits that are challenging to study in aqueous environments without detergents. This study explores whether applying the QTY code can reduce the hydrophobicity of selected ATP synthase Fo subunits while preserving their overall molecular structures. We applied the QTY code to eight human ATP synthase Fo subunits: ATP6, ATP8, ATPK, ATP68, ATPMK, AT5G1, AT5G2, and AT5G3. Hydrophobic amino acids leucine (L), isoleucine (I), valine (V), and phenylalanine (F) in transmembrane regions were systematically replaced with hydrophilic glutamine (Q), threonine (T), and tyrosine (Y). Four native subunits with available CryoEM structures from human ATP synthase (PDB: 8H9S) were superposed with their AlphaFold3-predicted QTY analogs. The native ATP synthase Fo subunits superposed well with their respective QTY analogs. For the CryoEM-native comparisons, RMSD values ranged from 0.565[A] to 2.546[A]. For the AlphaFold3-native comparisons of subunits without CryoEM structures, RMSD values ranged from 0.204[A] to 0.297[A]. Despite substantial QTY substitutions in the transmembrane regions, ranging from 38.89% to 50.79%, the QTY analogs retained similar overall folds, molecular weights, and isoelectric points. Hydrophobic surface analysis showed that the QTY analogs had reduced hydrophobic patches compared with their native counterparts, with average hydrophobicity decreasing from 0.2959 in native proteins to -1.1023 in QTY analogs. These structural bioinformatics studies suggest that the QTY code can be applied to ATP synthase Fo subunits to generate more hydrophilic, potentially water-soluble analogs while preserving overall structural similarity. These results extend the application of the QTY code to the membrane-embedded Fo sector of ATP synthase and provide a foundation for future experimental studies testing whether these QTY analogs can be expressed, purified, and evaluated for assembly or proton-transfer-related functions.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Proteins: Structure, Function, and Bioinformatics
88 papers in training set
Top 0.1%
18.0%
2
Protein Science
246 papers in training set
Top 0.4%
7.6%
3
Communications Biology
993 papers in training set
Top 1.0%
6.5%
4
ACS Omega
105 papers in training set
Top 0.2%
5.3%
5
PLOS ONE
5266 papers in training set
Top 30%
5.0%
6
Journal of Structural Biology
64 papers in training set
Top 0.2%
4.7%
7
International Journal of Biological Macromolecules
76 papers in training set
Top 0.3%
4.2%
50% of probability mass above
8
Bioinformatics
1204 papers in training set
Top 5%
4.2%
9
Journal of Molecular Biology
232 papers in training set
Top 0.7%
3.9%
10
Structure
193 papers in training set
Top 0.6%
3.9%
11
Scientific Reports
3612 papers in training set
Top 36%
3.1%
12
International Journal of Molecular Sciences
494 papers in training set
Top 5%
2.6%
13
Briefings in Bioinformatics
354 papers in training set
Top 4%
2.3%
14
The Journal of Physical Chemistry B
167 papers in training set
Top 0.9%
2.1%
15
Nature Communications
5641 papers in training set
Top 43%
1.9%
16
Communications Chemistry
48 papers in training set
Top 0.8%
1.5%
17
Journal of Chemical Information and Modeling
238 papers in training set
Top 2%
1.4%
18
Journal of Chemical Theory and Computation
140 papers in training set
Top 1.0%
1.1%
19
Current Research in Structural Biology
12 papers in training set
Top 0.1%
1.0%
20
PLOS Computational Biology
1863 papers in training set
Top 19%
1.0%
21
Biochimica et Biophysica Acta (BBA) - Biomembranes
36 papers in training set
Top 0.3%
1.0%
22
Molecules
39 papers in training set
Top 1%
0.8%
23
PeerJ
308 papers in training set
Top 12%
0.8%
24
Computational and Structural Biotechnology Journal
242 papers in training set
Top 7%
0.8%
25
Nucleic Acids Research
1281 papers in training set
Top 14%
0.8%
26
Nature Structural & Molecular Biology
18 papers in training set
Top 0.6%
0.6%
27
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 1%
0.6%
28
eLife
5828 papers in training set
Top 70%
0.6%