by udayyallapragada | Apr 24, 2025 | Uncategorized
Uday Yallapragada and Iosif Vaisman In this blog, I will summarize our results of network analysis of inter-protein correlated mutations in multiple Influenza A Virus (IAV) datasets. The methodology/pipeline that we conceived and realized are detailed here. I...
by udayyallapragada | Apr 23, 2025 | Uncategorized
In this blog, I provide a quick overview of ‘correlated mutations’ in proteins. What exactly is a correlated mutation? Let’s take a look at the following picture to understand correlated mutations among positions within a single protein (or...
by udayyallapragada | Jan 5, 2025 | Uncategorized
Uday Yallapragada and Iosif Vaisman Influenza A Virus (IAV) is remarkably adept at surviving in human populations. IAV thrives even among populations with wide spread access to vaccines and anti-viral drugs, and continues to be a major cause of morbidity and...
by udayyallapragada | Dec 30, 2024 | Uncategorized
Uday Yallapragada and Iosif Vaisman While our work primarily focused on analyzing inter-protein correlated mutations in IAV sub-systems, we have also created intra-protein correlated mutation graphs to understand differences and gain relevant insights. These...
by udayyallapragada | Dec 30, 2024 | Uncategorized
We attempted to understand patterns in Influenza A evolution by understanding the growth of correlated mutation graphs over a gradually increasing time period. We performed this experiment for Human H1N1 and Human H3N2 sub-systems. Evolution of Human H1N1 Network To...
by udayyallapragada | Dec 30, 2024 | Uncategorized
Uday Yallapragada and Iosif Vaisman Background Accurate classification of Influenza sequences using computational approaches can serve as a useful tool to improve our understanding of epidemiological patterns of this virus and can act as basis for extended...
