Detalhe da pesquisa
1.
Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain.
Cell
; 185(21): 4008-4022.e14, 2022 10 13.
Artigo
Inglês
| MEDLINE | ID: mdl-36150393
2.
High-throughput T cell receptor engineering by functional screening identifies candidates with enhanced potency and specificity.
Immunity
; 55(10): 1953-1966.e10, 2022 10 11.
Artigo
Inglês
| MEDLINE | ID: mdl-36174557
3.
Individualized VDJ recombination predisposes the available Ig sequence space.
Genome Res
; 31(12): 2209-2224, 2021 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-34815307
4.
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.
Bioinformatics
; 36(11): 3594-3596, 2020 06 01.
Artigo
Inglês
| MEDLINE | ID: mdl-32154832
5.
High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis.
Nucleic Acids Res
; 46(14): 7436-7449, 2018 08 21.
Artigo
Inglês
| MEDLINE | ID: mdl-29931269
6.
Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires.
J Immunol
; 199(8): 2985-2997, 2017 10 15.
Artigo
Inglês
| MEDLINE | ID: mdl-28924003
7.
Reference-based comparison of adaptive immune receptor repertoires.
Cell Rep Methods
; 2(8): 100269, 2022 08 22.
Artigo
Inglês
| MEDLINE | ID: mdl-36046619
8.
In silico proof of principle of machine learning-based antibody design at unconstrained scale.
MAbs
; 14(1): 2031482, 2022.
Artigo
Inglês
| MEDLINE | ID: mdl-35377271
9.
SARS-CoV-2 reactive and neutralizing antibodies discovered by single-cell sequencing of plasma cells and mammalian display.
Cell Rep
; 38(3): 110242, 2022 01 18.
Artigo
Inglês
| MEDLINE | ID: mdl-34998467
10.
A Single-Cell Atlas of Lymphocyte Adaptive Immune Repertoires and Transcriptomes Reveals Age-Related Differences in Convalescent COVID-19 Patients.
Front Immunol
; 12: 701085, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34322127
11.
Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.
Nat Biomed Eng
; 5(6): 600-612, 2021 06.
Artigo
Inglês
| MEDLINE | ID: mdl-33859386
12.
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding.
Cell Rep
; 34(11): 108856, 2021 03 16.
Artigo
Inglês
| MEDLINE | ID: mdl-33730590
13.
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
Nat Mach Intell
; 3(11): 936-944, 2021 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-37396030
14.
Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.
Front Immunol
; 9: 224, 2018.
Artigo
Inglês
| MEDLINE | ID: mdl-29515569