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A<sc>bstract</sc> We study flavor changing neutral current decays ofBandKmesons in the dark U(1)Dmodel, with the dark photon/darkZmass between 10 MeV and 2 GeV. Although the model provides an improved fit (compared to the standard model) to the differential decay distributions ofB → K(∗)ℓ+ℓ−, withℓ=μ,e, andBs→ ϕμ+μ−, the allowed parameter space is ruled out by measurements of atomic parity violation,K+→ μ++invisibledecay, and$$ {B}_s-{\overline{B}}_s $$ mixing, among others. To evade constraints from low energy data, we extend the model to allow for (1) additional invisibleZDdecay, (2) a direct vector coupling ofZDto muons, and (3) a direct coupling ofZDto both muons and electrons, with the electron coupling fine-tuned to cancel theZDcoupling to electrons via mixing. We find that only the latter case survives all constraints.
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This content will become publicly available on November 20, 2025
Boltz-1: Democratizing Biomolecular Interaction Modeling
Abstract Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this paper, we introduce Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data processing achieving AlphaFold3-level accuracy in predicting the 3D structures of biomolecular complexes. Boltz-1 demonstrates a performance on-par with state-of-the-art commercial models on a range of diverse benchmarks, setting a new benchmark for commercially accessible tools in structural biology. By releasing the training and inference code, model weights, datasets, and benchmarks under the MIT open license, we aim to foster global collaboration, accelerate discoveries, and provide a robust platform for advancing biomolecular modeling.
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- Award ID(s):
- 1918839
- PAR ID:
- 10585253
- Publisher / Repository:
- bioRxiv
- Date Published:
- Format(s):
- Medium: X
- Institution:
- bioRxiv
- Sponsoring Org:
- National Science Foundation
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