Research graph
References from Towards mechanistic models of mutational effects: Deep learning on Alzheimer’s Aβ peptide. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1126/science.1072994
10.1126/science.1072994 · External reference
Genetics of Alzheimer disease
10.1177/0891988710383571 · 2010 · External reference
10.7554/elife.63364
10.7554/elife.63364 · External reference
Structures and dynamics of β-barrel oligomer intermediates of amyloid-beta16-22 aggregation
2018 · External reference
10.1039/c7en00436b
10.1039/c7en00436b · External reference
10.1038/s41588-018-0311-9
10.1038/s41588-018-0311-9 · External reference
New insights on the genetic etiology of Alzheimer’s and related dementia
2020 · External reference
10.1039/c7cp05695h
10.1039/c7cp05695h · External reference
β-barrel Oligomers as Common Intermediates of Peptides Self-Assembling into Cross-β Aggregates
10.1038/s41598-018-28649-7 · 2018 · External reference
10.1021/acs.jcim.7b00580
10.1021/acs.jcim.7b00580 · External reference
Computational assessment of protein–protein binding affinity by reverse engineering the energetics in protein complexes
2021 · External reference
10.1038/nmeth.3027
10.1038/nmeth.3027 · External reference
Deep learning for computational biology
10.15252/msb.20156651 · 2016 · External reference
Neural networks to learn protein sequence-function relationships from deep mutational scanning data
2020 · External reference
Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2
2021 · External reference
10.1038/nsmb.2991
10.1038/nsmb.2991 · External reference
Elucidating the Molecular Determinants of Aβ Aggregation with Deep Mutational
10.1534/g3.119.400535 · 2019 · External reference
10.1093/nar/gkm998
10.1093/nar/gkm998 · External reference
Protein interface prediction using graph convolutional networks
2017 · External reference
Convolutional Networks on Graphs for Learning Molecular Fingerprints
2015 · External reference
Using deep learning to annotate the protein universe
2019 · External reference
10.1162/neco.1997.9.8.1735
10.1162/neco.1997.9.8.1735 · External reference
10.1021/acs.jcim.0c00073
10.1021/acs.jcim.0c00073 · External reference
10.1046/j.1432-1033.2002.03271.x
10.1046/j.1432-1033.2002.03271.x · External reference
Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril
10.1073/pnas.1600749113 · 2016 · External reference
10.1126/science.aao2825
10.1126/science.aao2825 · External reference
10.1371/journal.pmed.1002270
10.1371/journal.pmed.1002270 · External reference
10.1038/nrneurol.2012.263
10.1038/nrneurol.2012.263 · External reference
10.1038/nm0896-864
10.1038/nm0896-864 · External reference
Abeta-42 deposition precedes other changes in PS-1 Alzheimer’s disease
10.1016/s0140-6736(05)79757-9 · 1998 · External reference
Axiomatic attribution for deep networks
2017 · External reference
Learning Important Features Through Propagating Activation Differences
2019 · External reference
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
2017 · External reference
Layer-wise relevance propagation for neural networks with local renormalization layers
2016 · External reference
Predicting 3D genome folding from DNA sequence with Akita
10.1038/s41592-020-0958-x · 2020 · External reference
10.25080/tcwv9851
10.25080/tcwv9851 · External reference
Deep residual learning for image recognition
2015 · External reference
A method for stochastic optimization
2017 · External reference
Unresolved reference
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Unresolved reference
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