Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2023.09.22.559023

Sensitivity analysis identifies the factors driving the enzymatic saccharification of lignocellulose

De, P. S.·Theilmann, J.·Raguin, A.
View original source ↗Export metadata ↓

Abstract

Corn stover is the most abundant form of crop residue that can serve as a source of lignocellulosic biomass in biorefinery approaches, for instance for the production of bioethanol. In such biorefinery processes, the constituent polysaccharide biopolymers are typically broken down into simple monomeric sugars by enzymatic saccharification, for further downstream fermentation into bioethanol. However, the recalcitrance of this material to enzymatic saccharification invokes the need for innovative pre-treatment methods to increase sugar conversion yield. Here, we focus on experimental glucose conversion time-courses for corn stover lignocellulose that has been pre-treated with different acid-catalysed processes and intensities. We identify the key parameters that determine enzymatic saccharification dynamics by performing a Sobols sensitivity analysis on the comparison between the simulation results from our complex stochastic biophysical model, and the experimental data that we accurately reproduce. We find that the parameters relating to cellulose crystallinity and those associated with the cellobiohydrolase activity are predominantly driving the enzymatic saccharification dynamics. We confirm our computational results using mathematical calculations for a purely cellulosic substrate. On the one hand, having identified that only five parameters drastically influence the saccharification dynamics allows us to reduce the dimensionality of the parameter space (from nineteen to five parameters), which we expect will significantly speed up our fitting algorithm for comparison of experimental and simulated saccharification time-courses. On the other hand, these parameters directly highlight key targets for experimental endeavours in the optimisation of pre-treatment and saccharification conditions. Finally, this systematic and two-fold theoretical study, based on both mathematical and computational approaches, provides experimentalists with key insights that will support them in rationalising their complex experimental results. O_TEXTBOXSIGNIFICANCE The recalcitrance of lignocellulosic biomass to enzymatic saccharification processes necessitates innovative biorefinery pre-treatment processes with the goal of increasing glucose conversion yields. We implement a systematic Sobols sensitivity analysis on the comparison between the simulation results from our complex stochastic biophysical model, and experimental glucose conversion time-courses data for pre-treated corn stover lignocellulose that we accurately reproduce with our model. Our results, reinforced with analytical calculations, highlight the key parameters which govern the dynamics of enzymatic saccharification of lignocellulose. Thus, this study does not only drastically reduce the model parameter space from nineteen free parameters to only five key ones, but it also provides valuable insights that can guide future experiment design efforts, and the rationalisation of complex experimental datasets. C_TEXTBOX

Explore related subjects

biophysicsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

De, P. S., Theilmann, J., Raguin, A.. 2023-09-23. Sensitivity analysis identifies the factors driving the enzymatic saccharification of lignocellulose. https://doi.org/10.1101/2023.09.22.559023

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Design of colipids with controlled lateral distance of head group moieties for targeting strategies in the field of lipid-based nanoparticles

Lipid nanoparticles and liposomes are nanoparticle drug formulations which are firmly established in clinics. In order to expand their application and improve efficacy, surface modifications can be a key strategy, especially for cell specific targeting. Targeting can be achieved by integrating ligand functionalized lipids or lipidoids on the nanoparticle surface. In this case, not solely the targeting ligand itself, but also the structure of the whole targeting lipid/lipidoid can affect the interaction of the targeting ligand with the binding motive on cells. Especially, distal spacer structures between lipid anchor and ligand unit, often composed of polyethylene glycol chains, provide a certain distance of the ligand from the nanoparticle surface. A concept which is currently neglected is the control of the lateral distance between ligand structures on the nanoparticle. Herein we investigated the possibility to design lipidoids with a lateral spacer composed of polyethylene glycol units. We synthesized and characterized different lipidoids which provide a primary amine in the head group for possible ligand coupling. In our model lipidoids the head groups were functionalized with a paramagnetic probe to apply electron paramagnetic resonance (EPR) methods for the characterization of the lipidoid interaction with model nanoparticles, in our case liposomes. Continuous wave EPR was used to study the efficiency of the novel lipidoids to integrate into lipid bilayers of model liposomes, which was shown to depend on lipidoid structure and liposome composition. Furthermore, using double electron-electron resonance (DEER), we observed lipidoid conformational changes occurring upon integration into liposomes.

biophysics↗
bioRxiv2026

Binding mechanisms of therapeutic antibodies to human claudin-18.2

Claudin-18.2 (CLDN18.2) is a tight junction component with highly restricted expression in the paracellular space of nonmalignant gastric epithelial cells. It becomes accessible on tumor cell surface during malignant transformation, making CLDN18.2 an attractive target for targeted therapies against gastric cancer. Recently, zolbetuximab has become the first FDA-approved monoclonal antibody that targets CLDN18.2 in advanced gastric cancer, and others like osemitamab have entered phase 3 clinical trials. However, the high-resolution structure of CLDN18.2 is lacking, and how CLDN18.2 is recognized by therapeutic antibodies remains undefined. Here, we report cryo-EM structures of human claudin-18.2 (hCLDN18.2) in complex with the Fab fragments of zolbetuximab and osemitamab, revealing the structure of hCLDN18.2 and its binding mechanism to the therapeutic antibodies. Further analyses reveal that three residues in the first extracellular loop of hCLDN18.2 that are different from human claudin-18.1 (hCLDN18.1) play a critical role in antibody binding. Our data elucidate the structural basis for selective binding of therapeutic antibodies to hCLDN18.2, which should aid rational design of next-generation immunotherapies targeting hCLDN18.2.

biophysics↗
bioRxiv2026

Structural relationships between the SLC12 cotransporter C-terminal domain, universal stress proteins and adenylating enzymes

Several SLC12 cotransporters bind ATP in a cytoplasmic C-terminal domain (CTD). We analysed 16,192 CTD-containing SLC12 sequences and compared 42,845 representative structures to examine the relationship between this nucleotide site, universal stress proteins (USPs) and adenylating enzymes. In phosphorylated NKCC1, D891 and D927 lie near the ATP phosphate chain, while R801 and K889 form a basic phosphate-binding clamp. NKCC1 retains this arrangement, whereas KCC paralogs replace or lose several corresponding groups. In structural comparisons with USP and adenylating-enzyme references, both CTD lobes score between universal stress proteins and EC-annotated domains, and the two lobes form separate lineages that include bacterial transporters. Lobe-specific and nucleotide-frame comparisons place ATP in the corresponding structural region used for -phosphate chemistry by catalytic members of this fold. Published work on UspG provides a precedent for protein-bound AMP in a natural USP. In the examined SLC12 structures and USP models, candidate protein hydroxyls lack an in-line geometry for attack at ATP P. Protein adenylation would require a change in protein or nucleotide geometry, or a different acceptor. These results define a structural basis for testing conditional protein adenylation at SLC12 nucleotide sites. The required evidence is a covalent protein-AMP adduct, identification of its acceptor and measurement of the expected pyrophosphate coproduct, with soluble nucleotide analysis to distinguish accompanying ATP reactions.

biophysics↗