Pabitra Pal Choudhury

The paper identifies 47 unique truncated ORF8 protein variants in B.1.1.7 SARS-CoV-2 sequences and defines nine possible variants based on physicochemical properties.

The paper models codon position mutations using cellular automata to analyze their impact on disease phenotypes across different viruses.

The paper analyzes S-protein variants of SARS-CoV-2 from six continents, finding North America has the most unique variants, which may spread globally, suggesting travel restrictions and vaccine updates are needed.

The paper identifies and analyzes 175 non-synonymous mutations in the ORF3a protein of SARS-CoV2, classifying them into neutral, disease, and mixed types and detecting 20 clusters using K-means clustering.

The paper analyzes sequence variations and structural properties of SARS-CoV-2 ORF10 protein to assess its role in viral pathogenicity and potential as a pharmaceutical target.

This study analyzes the ORF8 protein of SARS-CoV-2 and its mutations across human, bat, and pangolin hosts to understand its role in immune evasion and evolutionary dynamics.

The paper analyzes SARS-CoV-2 isolates from ten Asian countries to identify mutations and assess their functional impact across different clades.

The paper analyzes ACE2 receptors across nineteen species to propose a possible SARS-CoV-2 transmission flow based on receptor-binding domain interactions.

The paper analyzes variations in SARS-CoV-2 accessory proteins across global proteomes and finds ORF3a has the highest unique variations, suggesting these variations may influence pathogenicity.

The paper analyzes mutations in the ORF3a gene of Indian SARS-CoV2 genomes, finding single and double point mutations that may affect virulence and suggesting therapeutic implications.

The paper compares SARS-CoV2 genomes from India and China to analyze spatial and molecular arrangements, revealing potential differences in viral origins and evolution.

The paper investigates codon alteration patterns in two neurodegenerative diseases using numerical representation and classification, finding strong class codons are most mutated and mutations in the first or second positions are more deleterious.

The paper compares conserved regions in glutamate receptor genes from rats and Arabidopsis thaliana to explore evolutionary commonalities.

The paper investigates whether hub genes and their neighbors in Alzheimer’s disease subnetworks show chemical proximity in DNA sequences and amino acid properties.

The paper quantitatively maps physicochemical properties of DNA sequences to their corresponding amino acid sequences, showing DNA signatures persist through translation.

The paper analyzes the distribution of purines and pyrimidines in miRNAs across human, gorilla, and chimpanzee, identifying non-random patterns and clustering based on quantitative metrics.

The paper analyzes nucleotide base distributions in human miRNAs and proposes an Ising-like model to explain their non-random sequence variations.