Nature Biotechnology

doi: 10.1038/s41587-023-01727-6pmid: 36890200

Women’s networks are strong, and making a difference.

Eisenstein, Michael

doi: 10.1038/s41587-023-01705-ypmid: 36823357

Protein engineers are drawing on rapidly evolving machine learning tools, deep reservoirs of data, and the structure-predicting firepower of AlphaFold2 to pursue more sophisticated de novo protein designs.

doi: 10.1038/s41587-023-01723-wpmid: 36922692

doi: 10.1038/s41587-023-01725-8pmid: 36922694

doi: 10.1038/s41587-023-01726-7pmid: 36922693

Sheridan, Cormac

doi: 10.1038/s41587-023-01709-8pmid: 36879010

RNA editing is rapidly gaining prominence as its transient and reversible changes promise a safer and more flexible option to reverse disease-causing mutations than DNA editing.

doi: 10.1038/s41587-023-01708-9pmid: 36922691

Brouillette, Monique

doi: 10.1038/s41587-023-01677-zpmid: 36759708

Tumors are rife with bacteria and fungi. Their ubiquity is proving useful in detecting cancers, categorizing them, and even determining whether certain interventions will work.

Joe, Carina C. D.; Chopra, Nitin; Nestola, Piergiuseppe; Niemann, Julia; Douglas, Alexander D.

doi: 10.1038/s41587-023-01682-2pmid: 36890199

Chien, Colleen V.; Halkowski, Nicholas; Kuhn, Jeffrey

doi: 10.1038/s41587-023-01703-0pmid: 36922695

Drug patents are different. To improve their quality ex ante, regulators can use predictive models.