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Author Correction: A framework to evaluate machine learning crystal stability predictions

Janosh Riebesell
Rhys E. A. Goodall
Kristin A. Persson
Amendments and CorrectionsOpen Access02 Sept 2025
Nature Machine Intelligence

Volume: 7, P: 1586
FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events

FIORA, an advanced graph neural network, enhances the simulation of tandem mass spectra by learning molecular bond-breaking patterns. The open-source algorithm generates high-quality reference spectra for compound identification in metabolomics.

Yannek Nowatzky
Francesco Friedrich Russo
Philipp Benner
ResearchOpen Access07 Mar 2025
Nature Communications

Volume: 16, P: 1-17
An improved SNAP-ADAR tool enables efficient RNA base editing to interfere with post-translational protein modification

RNA base editing enables a precise, reversible and doseable change of genetic information. Here, authors propose base editing as a method to control post-translational modifications via removal of regulatory phosphorylation and acetylation sites, applying the approach to modulation of the JAK/STAT pathway via editing of wildtype alleles.

Karthika Devi Kiran Kumar
Shubhangi Singh
Thorsten Stafforst
ResearchOpen Access05 Aug 2024
Nature Communications

Volume: 15, P: 1-16
A framework to evaluate machine learning crystal stability predictions

Riebesell et al. introduce Matbench Discovery, a framework to compare machine learning models used to identify stable crystals. Out of several architectures, they find that universal interatomic potentials perform best in the competition.

Janosh Riebesell
Rhys E. A. Goodall
Kristin A. Persson
ResearchOpen Access23 Jun 2025
Nature Machine Intelligence

Volume: 7, P: 836-847
Multi-omic and single-cell profiling of chromothriptic medulloblastoma reveals genomic and transcriptomic consequences of genome instability

Chromothripsis (CT) is a type of genome instability which is prevalent in medulloblastoma with germline TP53 mutations (Li-Fraumeni syndrome, LFS). Here the authors combine single-cell genomic and transcriptomic analyses to reveal the clonal heterogeneity and functional consequences of CT in LFS medulloblastoma.

Petr Smirnov
Moritz J. Przybilla
Aurélie Ernst
ResearchOpen Access23 Nov 2024
Nature Communications

Volume: 15, P: 1-20
Therapy of human tumors in NOD/SCID mice with patient-derived reactivated memory T cells from bone marrow

Markus Feuerer
Philipp Beckhove
Victor Umansky
Research01 Apr 2001
Nature Medicine

Volume: 7, P: 452-458
Forming attitudes via neural activity supporting affective episodic simulations

People vividly simulate prospective events and experience the anticipated affect—processes supported by the ventromedial prefrontal cortex (vmPFC). Here, the authors show that these mere simulations change real-life attitudes, via a value transfer between environmental representations in the vmPFC.

Roland G. Benoit
Philipp C. Paulus
Daniel L. Schacter
ResearchOpen Access17 May 2019
Nature Communications

Volume: 10, P: 1-11
A Quantum-Chemical Bonding Database for Solid-State Materials

Aakash Ashok Naik
Christina Ertural
Janine George
ResearchOpen Access11 Sept 2023
Scientific Data

Volume: 10, P: 1-18

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