Discovering faster matrix multiplication algorithms with reinforcement learning | Nature
Discovering faster matrix multiplication algorithms with reinforcement learning - Nature
A reinforcement learning approach based on AlphaZero is used to discover efficient and provably correct algorithms for matrix multiplication, finding faster algorithms for a variety of matrix sizes.
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Inferring and perturbing cell fate regulomes in human brain organoids | Nature
Inferring and perturbing cell fate regulomes in human brain organoids - Nature
A multi-omic atlas of brain organoid development facilitates the inference of an underlying gene regulatory network using the newly developed Pando framework and shows—in conjunction with perturbation experiments—that GLI3 controls forebrain fate esta
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Hallucinating symmetric protein assemblies | Science
Expansion of the global RNA virome reveals diverse clades of bacteriophages: Cell
Expansion of the global RNA virome reveals diverse clades of bacteriophages
Analysis of viral RNA genomes from thousands of diverse ecosystems substantially expands the known diversity of RNA viruses and show that RNA bacteriophages account for a much greater fraction of the global RNA virome.
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Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding
A machine-learning-guided, protein engineering method enables the prediction of how SARS-CoV-2 RBD combinatorial mutations will impact therapeutic antibody escape and ACE2 affinity. This method facilitates the identification of multisite mutations that are
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Ensemble-function relationships to dissect mechanisms of enzyme catalysis | Science Advances
Protein Structure Prediction Using Rosetta.
Sci-Hub | Protein Structure Prediction Using Rosetta. Numerical Computer Methods, Part D, 66–93 | 10.1016/s0076-6879(04)83004-
↓ save Rohl, C. A., Strauss, C. E. M., Misura, K. M. S., & Baker, D. (2004). Protein Structure Prediction Using Rosetta. Numerical Computer Methods, Part D, 66–93. doi:10.1016/s0076-6879(04)83004-0 10.1016/s0076-6879(04)83004-0
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The co-evolution of the genome and epigenome in colorectal cancer | Nature0
The co-evolution of the genome and epigenome in colorectal cancer - Nature
A study maps genetic and epigenetic heterogeneity of primary colorectal adenomas and cancers at single-clone resolution through spatial multi-omic profiling of individual glands and adjacent normal tissue.
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Cryo-EM structure of the SEA complex | Nature
Cryo-EM structure of the SEA complex - Nature
The cryo-EM structure of the yeast SEA complex suggests that SEACAT functions as a scaffold for binding TORC1 regulators.
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Evolution of immune genes is associated with the Black Death | Nature
Structural basis for Cas9 off-target activity: Cell
Influences of rare copy-number variation on human complex traits: Cell
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