Geological structures known as alkaline hydrothermal vents (AHVs) likely displayed dynamic energy characteristics analogous to cellular chemiosmosis and contained
iron-oxyhydroxide green rusts in the Show more
Geological structures known as alkaline hydrothermal vents (AHVs) likely displayed dynamic energy characteristics analogous to cellular chemiosmosis and contained
iron-oxyhydroxide green rusts in the early Earth. Under specific conditions, those minerals
could have acted as non-enzymatic catalysts in the development of early bioenergetic
chemiosmotic energy systems while being integrated into the membrane of AHV-produced
organic vesicles. Here, we show that the simultaneous addition of two probable AHV components, namely nickel and amino acids, impacts green rust’s physico-chemical properties,
especially those required for its incorporation in lipid vesicle’s membranes, such as decreasing the mineral size to the nanometer scale and increasing its hydrophobicity. These results
suggest that such hydrophobic nano green rusts could fit into lipid vesicle membranes
and could have functioned as a primitive, inorganic precursor to modern chemiosmotic
metalloenzymes, facilitating both electron and proton transport in early life-like systems.
Accepted: 15 April 2025
Published: 19 April 2025
Citation: Gaudu, N.; Truong, C.; Farr, Show less
2025 · Bioinformatics · Oxford University Press · added 2026-04-21
Motivation: Proteins are of great significance in living organisms. However, understanding their functions encounters numerous challenges, such as insufficient integration of multimodal information, a Show more
Motivation: Proteins are of great significance in living organisms. However, understanding their functions encounters numerous challenges, such as insufficient integration of multimodal information, a large number of training parameters, limited flexibility of classification-based methods, and the lack of systematic evaluation metrics for protein question answering systems. To tackle these issues, we propose the Prot2Chat framework. Results: We modified ProteinMPNN to encode protein sequence and structural information in a unified way. We used a large language model Show less