Recent research papers and experiments have focused on quantum chemistry and protein interactions in space. Scientists have achieved the production of a quantum gas containing two types of atoms aboard the International Space Station (ISS) for the first time. This marks a significant advancement in the study of quantum chemistry in space. Additionally, studies have explored protein-ligand interactions, gene regulatory networks, and embryo-scale reverse genetics at single-cell resolution. The research also delves into predictive analyses of regulatory sequences and the accurate modeling of antibody-antigen complexes using machine learning and information-driven docking. Furthermore, the potential detection of quantum entanglement in apparently empty space has been highlighted, offering new insights into the nature of the vacuum near black holes.
It may soon be possible to detect quantum entanglement in apparently empty space and reveal new information about the nature of the vacuum near black holes https://t.co/RTmK8nRApS
Predicting protein folding pathway using a novel folding force field model derived from known protein universe https://t.co/hL33YDLbYq #biorxiv_bioinfo
Protein-Ligand Binding Site Prediction and de Novo Ligand Generation from Cryo-EM Maps https://t.co/OnBwFeBy9x #biorxiv_bioinfo
Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking https://t.co/Ix6DWxSPNZ #biorxiv_bioinfo
The bulk deep generative decoder: N-of-one differential gene expression without control samples using a deep generative model https://t.co/793dVUvwYw https://t.co/TJtPfaJnDp
EUGENe: Predictive analyses of regulatory sequences https://t.co/QH4uJBTpYa https://t.co/nj52new9qq
Hierarchical annotation of eQTLs enables identification of genes with cell-type divergent regulation https://t.co/ub3pKITyqB https://t.co/aVTEBTsydd
Nature research paper: Aligned grains and scattered light found in gaps of planet-forming disk https://t.co/e5I8sYscKN
N-of-one differential gene expression without control samples using a deep generative model https://t.co/y7QLOIh88H
Nature research paper: Continuous symmetry breaking in a trapped-ion spin chain https://t.co/IlWJdcVDNB
Nature research paper: Quantum gas mixtures and dual-species atom interferometry in space https://t.co/l69dUZ2U0n
Leveraging Graph Machine Learning for Moonlighting Protein Prediction: A Local PPI Network and Physiochemical Feature Approach https://t.co/XMT7a5psBg #biorxiv_bioinfo
Quality Matters: Deep Learning-Based Analysis of Protein-Ligand Interactions with Focus on Avoiding Bias https://t.co/Abbfjak5gv #biorxiv_bioinfo
Nature research paper: Embryo-scale reverse genetics at single-cell resolution https://t.co/cNsYDmCMM6
NASA’s Cold Atom Lab Sets Stage for Quantum Chemistry in Space Summary Ai Mindmap Q&A. I always SuperPromptIt(TM) 🦸👉 https://t.co/D7u2hVqSZb https://t.co/zyuc9hRVp5 https://t.co/yqhpmGZMf9
#MustRead: Scientists have produced a quantum gas containing two types of atoms while aboard the International @Space_Station (ISS), the first time such a feat has been achieved in space. https://t.co/B1KYFQR1R8
Optimal control of gene regulatory networks for morphogen-driven tissue patterning https://t.co/qPLlHS2A2o https://t.co/3prGpkPig6
Scientists have produced a quantum gas containing two types of atoms while aboard the International @Space_Station, the first time such a feat has been achieved in space. https://t.co/B1KYFQQu1A
Quantum chemistry is having a moment in space aboard the ISS https://t.co/B1KYFQR1R8
Nature research paper: Computational prediction of complex cationic rearrangement outcomes https://t.co/YVDkvdoAm5
Nature research paper: The social and structural architecture of the yeast protein interactome https://t.co/nOVD9u45a6
Nature research paper: Illuminating protein space with a programmable generative model https://t.co/Doe23N8Q06