Posts Tagged ‘TXL’
Conformational sampling and interpolation using language-based protein folding neural networks
February 7, 2025A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets
March 29, 2024Long-context modeling from molecular to genome scale
March 2, 2024Deep learning protein conformational space with convolutions and latent interpolations
December 15, 2023Illuminating protein space with a programmable generative model | Nature
November 23, 2023https://www.nature.com/articles/s41586-023-06728-8
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Here we introduce Chroma, a generative model for proteins and protein complexes that can directly sample novel protein structures and sequences, and that can be conditioned to steer the generative process towards desired properties and functions. To enable this, we introduce a diffusion process that respects the conformational statistics of polymer ensembles, an efficient neural architecture for molecular systems that enables long-range reasoning with sub-quadratic scaling, layers for efficiently synthesizing three-dimensional structures of proteins from predicted inter-residue geometries and a general low-temperature sampling algorithm for diffusion models.
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AI rivals the human nose when it comes to naming smells | Science | AAAS
October 8, 2023https://www.science.org/content/article/ai-rivals-the-human-nose-when-it-comes-to-naming-smells
Neural network predicts odors from chemical structures, speeding the search for new, better smelling consumer products
31 AUG 20232:00 PM ET
BY ELIZABETH PENNISI
A Deep Learning Approach to Antibiotic Discovery: Cell
September 24, 2023Multi-species DNABERT
September 10, 2023Litmaps: Literature Map Software for Lit Reviews & Research
August 31, 2023Uncovering motif interactions from convolutional-attention networks for genomics
November 20, 2022https://openreview.net/pdf?id=ITOQhccyRsk
An interesting work that improves the interpretability of TF binding predictors with minimal network design.
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