How ribosomes pace translation to assist nascent protein folding remains an open question in molecular biology. While synonymous codon selection is widely hypothesized to regulate elongation rates to facilitate domain organization, distinguishing genuine translational kinetics from baseline amino acid preferences has proven technically difficult. Here, we analyze a non-redundant cohort of 1,270 high-resolution human crystal structures (410,151 residues) mapped to their native mRNA transcripts. When we mathematically isolate synonymous codon choices from amino acid identity using orthogonal linear projection, standard codon-supply metrics i.e. the tRNA Adaptation Index (tAI) and the Codon Adaptation Index (CAI), show negligible independent spatial coupling with downstream protein structure. Their uncorrected correlations predominantly reflect local amino acid chemistry rather than physical translation pacing. In contrast, downstream mRNA secondary structure stability (minimum free energy, MFE) displays a subtle but consistent correlation that survives amino acid control. Across 100,000 whole-proteome permutations per pair, this MFE signal centers at an offset of +15 to +16 codons across multiple independent physical properties, including residue packing density (r = -0.0699, Z = -23.64, p < 10-5), crystallographic rigidity (B-factor, r = +0.0614, Z = +13.74, p < 10-5), and solvent burial (SASA, r = +0.0492, Z = +18.98, p < 10-5). This +15 codon offset corresponds directly to the physical dimensions of the eukaryotic 80S ribosome: the path from the peptidyl transferase center to the internal uL4/uL22 constriction neck (~10 amino acids) plus the downstream mRNA helicase entry channel (~5 codons). While the overall effect size is modest, accounting for approximately 0.49% of local packing variance, its spatial specificity and consistency across independent structural metrics suggest that downstream mRNA stability acts as a localized mechanical brake during early chain compaction.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
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Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.