67 Sequence modeling and design from molecular to genome scale with Evo
https://www.science.org/doi/10.1126/science.ado9336
66 De novo protein design by deep network hallucination.
https://www.nature.com/articles/s41586-021-04184-w
65 Accurate prediction of protein structures and interactions using a three-track neural network.
https://science.sciencemag.org/content/373/6557/871
64 Highly accurate protein structure prediction with AlphaFold.
https://www.nature.com/articles/s41586-021-03819-2
63 Accurate prediction of protein structures and interactions using a three-track neural network.
https://science.sciencemag.org/content/early/2021/07/14/science.abj8754
62 Computational design of transmembrane pores.
https://www.nature.com/articles/s41586-020-2646-5
61 OligoMiner provides a rapid, flexible environment for the design of genome-scale oligonucleotide in situ hybridization probes.
http://www.pnas.org/content/115/10/E2183
60 Snap deconvolution: An informatics approach to high-throughput discovery of catalytic reactions.
http://science.sciencemag.org/content/357/6347/175
59 A tool for genome-wide design of CRISPR guide RNAs reduces off-target effects and facilitates targeting of the non-coding genome.
http://www.nature.com/nbt/journal/v35/n4/abs/nbt.3804.html
58 MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis.
http://www.nature.com/articles/nmicrobiol201677
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