Bioinformatics
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SARS-CoV-2 variants show a gradual declining pathogenicity and pro-inflammatory cytokine spur, an increasing antigenic and antiinflammatory cytokine induction, and rising structural protein instability
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Bioinformatic analysis of B and T cell epitopes from SARS-CoV-2 Spike, Membrane and Nucleocapsid proteins as a strategy to assess possible cross-reactivity between emerging variants, including Omicron, and other human coronaviruses
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Benchmarking supervised signature-scoring methods for single-cell RNA sequencing data in cancer
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A novel consensus-based computational pipeline for rapid screening of antibody therapeutics for efficacy against SARS-CoV-2 variants of concern including omicron variant
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Omicron (BA.1) and Sub-Variants (BA.1, BA.2 and BA.3) of SARS-CoV-2 Spike Infectivity and Pathogenicity: A Comparative Sequence and Structural-based Computational Assessment
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Molecular Dynamics Simulations Studies On The Effects Of Mutations On The Binding Affinities Between SARS-CoV-2 Spike RBD And Human ACE2
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Cell delivery peptides for small interfering RNAs targeting SARS-CoV-2 new variants through a bioinformatics and deep learning design
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Predicting Epitope Candidates for SARS-CoV-2
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Genetic, metabolic, and molecular insights into the diverse outcomes of diet-induced obesity in mice
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Computational study and design of effective siRNAs to silence structural proteins associated genes of Indian SARS-CoV-2 strains
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