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A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
These are the same type of understandable and logical computation circuits that humans design. What can we learn from observing this similarity? Source
This AI startup, which lists Nobel laureate David Baker among its co-founders, has announced a “world model” of a cell that can simulate both its natural state and […]
Topoisomerases are molecular machines that play a critical role in resolving DNA tangles and supercoiling generated during DNA replication. Source
by Daniel Ghaderi, Ali Sahimi, Benjamin Esser, Kelly V. Ruggles, Roy Maimon New technologies have generated huge volumes of biological data, much of which is underutilized. AI-ass...
Scientists developed a platform, GOOSE, allowing them to design disordered proteins at a large scale, offering a lens through which to investigate how their component sequences aff...
A new open-science initiative will use AI and large-scale experiments in a continuous learning cycle to design new proteins, enzymes and cells.
Scientists have built a search engine that can scan data from millions of single cells from thousands of experiments worldwide in seconds. The tool makes it possible to answer prev...
A Nobel laureate’s decades-long commitment to open science is reshaping biotechnology in the AI era. Deep learning methods can now design novel proteins across pharmaceuticals, vac...
Variant effect prediction has entered a new phase, but one of biology’s largest blind spots remains stubbornly difficult to resolve. Computational tools have become increasingly ef...
Weill Cornell Medicine is launching a new Department of Systems and Computational Biomedicine, an initiative designed to bring genomics, artificial intelligence and patient-centere...
In the Leiden Declaration, mathematicians issued a treatise on how AI challenges their field. Others must do the same. The post Biology Needs an AI Declaration appeared first on Si...
To adapt the words of Theodosius Dobzhansky, I’m persuaded that nothing in biology makes sense except in light of intelligent design. Source
STGBench generates realistic paired DNA and RNA sequencing datasets with known genetic alterations, enabling accurate benchmarking of spatial genomics and transcriptomics analysis....
by Joe G. Greener Structural bioinformatics aims to answer biological questions by considering biomolecular structures at scale. We now have accurate predictions and need to ask w...
A context-aware AI tool predicts how genomic DNA behaves across different cell types, supporting more accurate virtual cell models for research and medicine.
by Sarah M. Groves, Min-Jhe Lu, Astrid Catalina Alvarez-Yela, Monserrat Gerardo-Ramírez, P. Todd Stukenberg, John S. Lowengrub, Kevin A. Janes Biomolecular condensates create dyna...
Every process that keeps a plant alive—from the immune responses that fend off pathogens to the signaling cascades that help roots find water—depends on proteins physically tou...
by Chay Paterson, Miaomiao Gao, Joshua Hellier, Georg Luebeck, David C. Wedge, Ivana Bozic Compound birth-death processes are widely used to model the age-incidence curves of many...
New computational methods combine RNA sequencing knowledge with artificial intelligence to predict ribosome behavior directly from RNA sequences, supporting mRNA design and...
This eBook introduces the latest trends in quantitative spatial biology and how IMC is accelerating their adoption and success. The post From Images to Data appeared first on GEN -...
The world of biotech is showing strong signs of growth and clinical impact while also experiencing new challenges. The explosion of AI is reshaping areas from drug discovery and pr...
In this GEN webinar, speakers from Flock Bio and Ribbon Bio will explore how bench-based, cell-free DNA production can complement expertise in custom DNA design and manufacturing....
RNA sequencing data helped power an AI model that predicts gene regulation across cell types, improving the interpretation of genomic activity and supporting future precision medic...
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