J
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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Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Repertoire Builder: high-throughput structural modeling of B and T cell receptors
D. Schritt,Songling Li,John Rozewicki,Kazutaka Katoh,Kazuo Yamashita,Wayne Volkmuth,Guy Cavet,Daron M. Standley +7 more
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
Dianita S. Saputri,Songling Li,Floris J. van Eerden,John Rozewicki,Zichang Xu,Hendra S. Ismanto,Ana Davila,Shunsuke Teraguchi,Kazutaka Katoh,Daron M. Standley +9 more
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.
Journal ArticleDOI
Methods for sequence and structural analysis of B and T cell receptor repertoires.
Shunsuke Teraguchi,Dianita S. Saputri,Mara Anaís Llamas-Covarrubias,Mara Anaís Llamas-Covarrubias,Ana Davila,Diego Diez,Sedat Aybars Nazlica,John Rozewicki,Hendra S. Ismanto,Jan Wilamowski,Jiaqi Xie,Zichang Xu,Martin J. Loza-Lopez,Floris J. van Eerden,Songling Li,Daron M. Standley +15 more
TL;DR: Recent developments in bioinformatics tools for analysis of BCR and TCR repertoires are reviewed, with an emphasis on those that incorporate structural features, along with methods for clustering such models.