Protein synthesis. The delicate dance of translation and folding

Structural entanglements in protein complexes

We consider multi-chain protein native structures and propose a criterion that determines whether two chains in the system are entangled or not. The criterion is based on the behavior observed by pulling at both termini of each chain simultaneously in the two chains. We have identified about 900 entangled systems in the Protein Data Bank and provided a more detailed analysis for several of them. We argue that entanglement enhances the thermodynamic stability of the system but it may have other functions: burying the hydrophobic residues at the interface and increasing the DNA or RNA binding area. We also study the folding and stretching properties of the knotted dimeric proteins MJ0366, YibK, and bacteriophytochrome. These proteins have been studied theoretically in their monomeric versions so far. The dimers are seen to separate on stretching through the tensile mechanism and the characteristic unraveling force depends on the pulling direction.

Sequential search leads to faster, more efficient fragment-based de novo protein structure prediction

Motivation

Most current de novo structure prediction methods randomly sample protein conformations and thus require large amounts of computational resource. Here, we consider a sequential sampling strategy, building on ideas from recent experimental work which shows that many proteins fold cotranslationally.

Results

We have investigated whether a pseudo-greedy search approach, which begins sequentially from one of the termini, can improve the performance and accuracy of de novo protein structure prediction. We observed that our sequential approach converges when fewer than 20 000 decoys have been produced, fewer than commonly expected. Using our software, SAINT2, we also compared the run time and quality of models produced in a sequential fashion against a standard, non-sequential approach. Sequential prediction produces an individual decoy 1.5-2.5 times faster than non-sequential prediction. When considering the quality of the best model, sequential prediction led to a better model being produced for 31 out of 41 soluble protein validation cases and for 18 out of 24 transmembrane protein cases. Correct models (TM-Score > 0.5) were produced for 29 of these cases by the sequential mode and for only 22 by the non-sequential mode. Our comparison reveals that a sequential search strategy can be used to drastically reduce computational time of de novo protein structure prediction and improve accuracy.

Availability and implementation

Data are available for download from: http://opig.stats.ox.ac.uk/resources. SAINT2 is available for download from: https://github.com/sauloho/SAINT2.

Contact

saulo.deoliveira@dtc.ox.ac.uk.

Supplementary information

Supplementary data are available at Bioinformatics online.

Antibiotics: where to throw the spanner in the ribosomal machinery?

The sheer molecular scale of the ribosome is intimidating to the traditional drug designer. By analyzing the ribosome as a series of 12 key target sites, this review seeks to make the ribosome ligand design process more manageable. Analysis of recently evaluated ribosomal structures, particularly those with bound antibiotics, indicates where the ligand target sites are located. This review employs current research data to map antibiotic binding across the ribosome. A number of neighboring ligand-binding sites are often contiguous and can be combined. Ligands that bind in close proximity can be combined into hybrid structures. The different ways antibiotics disrupt ribosomal function are also discussed. Antibiotics tend to inhibit conformational changes that are essential to the ribosomal mechanism.

Strolling Toward New Concepts

For more than four decades now, I have been studying how genetic information is transformed into protein-based cellular functions. This has included investigations into the mechanisms supporting cellular localization of proteins, disulfide bond formation, quality control of membranes, and translation. I tried to extract new principles and concepts that are universal among living organisms from our observations of Escherichia coli. While I wanted to distill complex phenomena into basic principles, I also tried not to overlook any serendipitous observations. In the first part of this article, I describe personal experiences during my studies of the Sec pathway, which have centered on the SecY translocon. In the second part, I summarize my views of the recent revival of translation studies, which has given rise to the concept that nonuniform polypeptide chain elongation is relevant for the subsequent fates of newly synthesized proteins. Our studies of a class of regulatory nascent polypeptides advance this concept by showing that the dynamic behaviors of the extraribosomal part of the nascent chain affect the ongoing translation process. Vibrant and regulated molecular interactions involving the ribosome, mRNA, and nascent polypeptidyl-tRNA are based, at least partly, on their autonomously interacting properties.

Role of mRNA structure in the control of protein folding

Specific structures in mRNA modulate translation rate and thus can affect protein folding. Using the protein structures from two eukaryotes and three prokaryotes, we explore the connections between the protein compactness, inferred from solvent accessibility, and mRNA structure, inferred from mRNA folding energy (ΔG). In both prokaryotes and eukaryotes, the ΔG value of the most stable 30 nucleotide segment of the mRNA (ΔGmin) strongly, positively correlates with protein solvent accessibility. Thus, mRNAs containing exceptionally stable secondary structure elements typically encode compact proteins. The correlations between ΔG and protein compactness are much more pronounced in predicted ordered parts of proteins compared to the predicted disordered parts, indicative of an important role of mRNA secondary structure elements in the control of protein folding. Additionally, ΔG correlates with the mRNA length and the evolutionary rate of synonymous positions. The correlations are partially independent and were used to construct multiple regression models which explain about half of the variance of protein solvent accessibility. These findings suggest a model in which the mRNA structure, particularly exceptionally stable RNA structural elements, act as gauges of protein co-translational folding by reducing ribosome speed when the nascent peptide needs time to form and optimize the core structure.

Multiple folding pathways of proteins with shallow knots and co-translational folding

We study the folding process in the shallowly knotted protein MJ0366 within two variants of a structure-based model. We observe that the resulting topological pathways are much richer than identified in previous studies. In addition to the single knot-loop events, we find novel, and dominant, two-loop mechanisms. We demonstrate that folding takes place in a range of temperatures and the conditions of most successful folding are at temperatures which are higher than those required for the fastest folding. We also demonstrate that nascent conditions are more favorable to knotting than off-ribosome folding.