Morey-Burrows, F. S. | Search bioRxiv

bioRxiv2026

Structure of chlorophyll synthase in complex with the LHC-like protein HliD

Chlorophyll is the central cofactor in oxygenic photosynthesis, responsible for both light capture in antenna complexes and light-driven charge separation in photosystems. The tetraprenyl tail of chlorophyll is attached to the chlorophyllide macrocycle by the transmembrane enzyme chlorophyll synthase (ChlG). In the cyanobacterium Synechocystis sp. PCC 6803, ChlG forms a complex with the LHC-like high-light-inducible protein HliD. To understand the substrate specificity and catalytic mechanism of ChlG, and how it is photoprotected by HliD, we determined the structure of a ChlG2HliD2 complex in both substrate-free and geranylgeranyl pyrophosphate (GGPP)-bound states using cryogenic electron microscopy (cryo-EM). A homodimer of HliD, which binds four chlorophylls and two zeaxanthin molecules in a quenched state, is flanked by two ChlG monomers. AlphaFold modelling placed chlorophyllide adjacent to the structurally resolved GGPP bound to the active site of ChlG. Cryo-EM data, site-directed mutagenesis and molecular dynamics were used to formulate a molecular mechanism for ChlG catalysis. The structure of the ChlG2HliD2 complex shows how Hlips bind to the synthase, reveals the arrangements of carotenoids and chlorophylls that mediate energy dissipation, and sheds light on the evolution of eukaryotic LHC antennae from their cyanobacterial ancestors.

plant biology↗

bioRxiv2023

Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom

Although AlphaFold2 (AF2) and RoseTTAFold (RF) have transformed structural biology by enabling high-accuracy protein structure modeling, they are unable to model covalent modifications or interactions with small molecules and other non-protein molecules that can play key roles in biological function. Here, we describe RoseTTAFold All-Atom (RFAA), a deep network capable of modeling full biological assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications given the sequences of the polymers and the atomic bonded geometry of the small molecules and covalent modifications. Following training on structures of full biological assemblies in the Protein Data Bank (PDB), RFAA has comparable protein structure prediction accuracy to AF2, excellent performance in CAMEO for flexible backbone small molecule docking, and reasonable prediction accuracy for protein covalent modifications and assemblies of proteins with multiple nucleic acid chains and small molecules which, to our knowledge, no existing method can model simultaneously. By fine-tuning on diffusive denoising tasks, we develop RFdiffusion All-Atom (RFdiffusionAA), which generates binding pockets by directly building protein structures around small molecules and other non-protein molecules. Starting from random distributions of amino acid residues surrounding target small molecules, we design and experimentally validate proteins that bind the cardiac disease therapeutic digoxigenin, the enzymatic cofactor heme, and optically active bilin molecules with potential for expanding the range of wavelengths captured by photosynthesis. We anticipate that RFAA and RFdiffusionAA will be widely useful for modeling and designing complex biomolecular systems.

biochemistry↗