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John Rozewicki

Researcher at Osaka University

Publications -  10
Citations -  4631

John Rozewicki is an academic researcher from Osaka University. The author has contributed to research in topics: B-cell receptor & Multiple sequence alignment. The author has an hindex of 5, co-authored 8 publications receiving 2581 citations.

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MAFFT online service: Multiple sequence alignment, interactive sequence choice and visualization

TL;DR: The Web interface for recently developed options for large data and interactive usage to refine sequence data sets and MSAs for multiple sequence alignment are explained.
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MAFFT-DASH: integrated protein sequence and structural alignment.

TL;DR: MAFFT-DASH showed 10–20% improvement over standard MAFFT for MSA problems with weak similarity, in terms of Sum-of-Pairs (SP), a measure of how well a program succeeds at aligning input sequences in comparison to a reference alignment.
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Repertoire Builder: high-throughput structural modeling of B and T cell receptors

TL;DR: Repertoire Builder (https://sysimm.org/rep_builder/) is a method for generating atomic-resolution, three-dimensional models of B cell receptors or T cell receptors from their amino acid sequences.
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Flexible, Functional, and Familiar: Characteristics of SARS-CoV-2 Spike Protein Evolution

TL;DR: Examining residue positions in the S protein that vary greatly across closely related viruses but are conserved in the subset of viruses that infect humans observed a bias in the composition of the amino acids that make up such residues toward more human- like, rather than virus-like, sequence motifs.