MOTIVATION: Reliable prediction of protein thermostability from its sequence is valuable for both academic and industrial research. This prediction problem can be tackled using machine learning and by taking advantage of the recent blossoming of deep learning methods for sequence analysis. These methods can facilitate training on more data and, possibly, enable the development of more versatile thermostability predictors for multiple ranges of temperatures. RESULTS: We applied the principle of transfer learning to predict protein thermostability using embeddings generated by protein language models (pLMs) from an input protein sequence. We used large pLMs that were pre-trained on hundreds of millions of known sequences. The embeddings from such models allowed us to efficiently train and validate a high-performing prediction method using over one million sequences that we collected from organisms with annotated growth temperatures. Our method, TemStaPro (Temperatures of Stability for Proteins), was used to predict thermostability of CRISPR-Cas Class II effector proteins (C2EPs). Predictions indicated sharp differences among groups of C2EPs in terms of thermostability and were largely in tune with previously published and our newly obtained experimental data. AVAILABILITY AND IMPLEMENTATION: TemStaPro software and the related data are freely available from https://github.com/ievapudz/TemStaPro and https://doi.org/10.5281/zenodo.7743637.

Background The ability to replicate is essential for all living entities. Duplication of genetic information is carried out by replication proteins. DNA replication has been well studied in T7, T4 phages and herpes viruses; however, the information about replication mechanisms from other groups of viruses is either scarce or missing altogether. Double-stranded (ds) DNA viruses infect cells from all domains of life, they evolve fast and are very diverse. Their genome size varies from 5 to 2,500 kbp.

MOTIVATION: Herpesviruses are large DNA viruses causing a variety of diseases in humans and animals. To develop effective treatment, it is important to understand the mechanisms of their replication. One of the components of the herpesviral DNA replication system is a helicase-primase complex, consisting of UL5 (helicase), UL52 (primase) and UL8. UL8 is an essential herpesviral protein involved in multiple protein-protein interactions. Intriguingly, so far no UL8 homologs outside of herpesviruses could be identified. Moreover, nothing is known about its structure or domain organization. RESULTS: Here, combining sensitive homology detection methods and homology modeling, we found that the UL8 protein family is related to B-family polymerases. In the course of evolution, UL8 has lost the active site and has undergone a reduction of DNA-binding motifs. The loss of active site residues explains the failure to detect any catalytic activity of UL8. A structural model of human herpes virus 1 UL8 constructed as part of the study is consistent with the mutation data targeting its interaction with primase UL52. It also provides a platform for studying multiple interactions that UL8 is involved in. The two other components of helicase-primase complex show evolutionary links with a newly characterized human primase that also has DNA polymerase activity (PrimPol) and the Pif1 helicase, respectively. The role of these enzymes in recovering stalled replication forks suggests mechanistic and functional similarities with herpesviral proteins. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

MOTIVATION: Eukaryote-infecting nucleo-cytoplasmic large DNA viruses (NCLDVs) feature some of the largest genomes in the viral world. These viruses typically do not strongly depend on the host DNA replication systems. In line with this observation, a number of essential DNA replication proteins, such as DNA polymerases, primases, helicases and ligases, have been identified in the NCLDVs. One other ubiquitous component of DNA replisomes is the single-stranded DNA-binding (SSB) protein. Intriguingly, no NCLDV homologs of canonical OB-fold-containing SSB proteins had previously been detected. Only in poxviruses, one of seven NCLDV families, I3 was identified as the SSB protein. However, whether I3 is related to any known protein structure has not yet been established. RESULTS: Here, we addressed the case of 'missing' canonical SSB proteins in the NCLDVs and also probed evolutionary origins of the I3 family. Using advanced computational methods, in four NCLDV families, we detected homologs of the bacteriophage T7 SSB protein (gp2.5). We found the properties of these homologs to be consistent with the SSB function. Moreover, we implicated specific residues in single-stranded DNA binding. At the same time, we found no evolutionary link between the T7 gp2.5-like NCLDV SSB homologs and the poxviral SSB protein (I3). Instead, we identified a distant relationship between I3 and small protein B (SmpB), a bacterial RNA-binding protein. Thus, apparently, the NCLDVs have the two major distinct sets of SSB proteins having bacteriophage and bacterial origins, respectively.