Genome-Wide Prediction and Analysis of 3D-Domain Swapped Proteins in the Human Genome from Sequence Information

A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction

A modern-day physician is faced with a vast abundance of clinical and scientific data, by far surpassing the capabilities of the human mind. Until the last decade, advances in data availability have not been accompanied by analytical approaches. The advent of machine learning (ML) algorithms might improve the interpretation of complex data and should help to translate the near endless amount of data into clinical decision-making. ML has become part of our everyday practice and might even further change modern-day medicine. It is important to acknowledge the role of ML in prognosis prediction of cardiovascular disease. The present review aims on preparing the modern physician and researcher for the challenges that ML might bring, explaining basic concepts but also caveats that might arise when using these methods. Further, a brief overview of current established classical and emerging concepts of ML disease prediction in the fields of omics, imaging and basic science is presented.

Genome-Wide Analysis of Domain-Swap Predicted Products in the Genome of Anti-Stress Medicinal Plant: Ocimum tenuiflorum

Computational approaches to high-throughput data are gaining importance because of explosion of sequences in the post-genomic era. This explosion of sequence data creates a huge gap among the domains of sequence structure and function, since the experimental techniques to determine the structure and function are very expensive, time taking, and laborious in nature. Therefore, there is an urgent need to emphasize on the development of computational approaches in the field of biological systems. Engagement of proteins in quaternary arrangements, such as domain swapping, might be relevant for higher compatibility of such genes at stress conditions. In this study, the capacity to engage in domain swapping was predicted from mere sequence information in the whole genome of holy Basil (Ocimum tenuiflorum), which is well known to be an anti-stress agent. Approximately, one-fourth of the proteins of O tenuiflorum are predicted to undergo three-dimensional (3D)-domain swapping. Furthermore, function annotation was carried out on all the predicted domain-swap sequences from the O tenuiflorum and Arabidopsis thaliana for their distribution in different Pfam protein families and gene ontology (GO) terms. These domain-swapped protein sequences are associated with many Pfam protein families with a wide range of GO annotation terms. A comparative analysis of domain-swap-predicted sequences in O tenuiflorum with gene products in A thaliana reveals that around 26% (2522 sequences) are close homologues across the 2 genomes. Functional annotation of predicted domain-swapped sequences infers that predicted domain-swap sequences are involved in diverse molecular functions, such as in gene regulation of abiotic stress conditions and adaptation to different environmental niches. Finally, the positively predicted sequences of A thaliana and O tenuiflorum were also examined for their presence in stress regulome, as recorded in our STIFDB database, to check the involvement of these proteins in different abiotic stresses.

Exploring the Roles of Proline in Three-Dimensional Domain Swapping from Structure Analysis and Molecular Dynamics Simulations

Three-dimensional (3D) domain swapping is a mechanism to form protein oligomers. It has been proposed that several factors, including proline residues in the hinge region, may affect the occurrence of 3D domain swapping. Although introducing prolines into the hinge region has been found to promote domain swapping for some proteins, the opposite effect has also been observed in several studies. So far, how proline affects 3D domain swapping remains elusive. In this work, based on a large set of 3D domain-swapped structures, we performed a systematic analysis to explore the correlation between the presence of proline in the hinge region and the occurrence of 3D domain swapping. We further analyzed the conformations of proline and pre-proline residues to investigate the roles of proline in 3D domain swapping. We found that more than 40% of the domain-swapped structures contained proline residues in the hinge region. Unexpectedly, conformational transitions of proline residues were rarely observed upon domain swapping. Our analyses showed that hinge regions containing proline residues preferred more extended conformations, which may be beneficial for the occurrence of domain swapping by facilitating opening of the exchanged segments.