Finding identical sequence repeats in multiple protein sequences: An algorithm.

In recent years, several experimental evidences suggest that amino acid repeats are closely linked to many disease conditions, as they have a significant role in evolution of disordered regions of the polypeptide segments. Even though many algorithms and databases were developed for such analysis, each algorithm has some caveats, like limitation on the number of amino acids within the repeat patterns and number of query protein sequences. To this end, in the present work, a new method called the internal sequence repeats across multiple protein sequences (ISRMPS) is proposed for the first time to identify identical repeats across multiple protein sequences. It also identifies distantly located repeat patterns in various protein sequences. Our method can be applied to study evolutionary relationships, epitope mapping, CRISPR-Cas sequencing methods, and other comparative analytical assessments of protein sequences.

A novel search engine for proteins involved in Notch crosstalk signaling pathways.

To regulate biological activity in humans, the Notch signaling pathway (NSP) plays an essential role in a wide array of cellular development and differentiation process. In recent years, many studies have reported that aberrant activation of Notch is associated with the tumor process; but no appropriate database exists to fill this significant gap. To address this, we created a pioneering database NCSp, which is open access and comprises intercommunicating pathways and related protein mutations. This allows scientists to understand better the cause of single amino acid mutations in proteins. Therefore, NCSp provides information on the predicted functional effect of human protein mutations, which aids in understanding the importance of mutations linked to the Notch crosstalk signaling pathways in cancerous and non-cancerous systems. This database might be helpful for therapeutic mutation analysis, molecular biology, and structural biology researchers. The NCSp database can be accessed through https://bioserver3.physics.iisc.ac.in/cgi-bin/nccspd/.

Screening of FDA-approved compound library identifies potential small-molecule inhibitors of SARS-CoV-2 non-structural proteins NSP1, NSP4, NSP6 and NSP13: molecular modeling and molecular dynamics studies.

COVID-19, the current global pandemic has caused immense damage to human lives and the global economy. It is instigated by the SARS-CoV-2 virus and there is an immediate need for the identification of effective drugs against this deadly virus. SARS-CoV-2 genome codes for four structural proteins, sixteen non-structural proteins (NSPs) and several accessory proteins for its survival inside the host cells. In the present study, through in silico approaches, we aim to identify compounds that are effective against the four NSPs namely, NSP1, NSP4, NSP6 and NSP13 of SARS-CoV-2. The selection criteria of these four NSP proteins are they are least explored and potential targets. First, we have modeled the 3D structures of these proteins using homology modeling methods. Further, through molecular docking studies, we have screened the FDA-approved compounds against these modeled proteins and reported their docking scores. To gain dynamic insights, molecular dynamics studies have also been carried out for the best scored ligand against the NSPs. This study can further pave way for exposing more number of compounds against these proteins and enhance COVID-19 treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42485-021-00067-w.