C. Feinauer

发表

Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

Carlo Baldassi, Riccardo Zecchina, Andrea Pagnani, 2014, PloS one.

Zinc finger proteins and the 3D organization of chromosomes.

D. Heermann, Sebastian Goldt, A. Hofmann, 2013, Advances in protein chemistry and structural biology.

Inter-Protein Sequence Co-Evolution Predicts Known Physical Interactions in Bacterial Ribosomes and the Trp Operon

Andrea Pagnani, Martin Weigt, Christoph Feinauer, 2015, PloS one.

Context-Aware Prediction of Pathogenicity of Missense Mutations Involved in Human Disease

M. Weigt, C. Feinauer, Christoph Feinauer, 2017, bioRxiv.

Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry

R. Zecchina, Carlo Baldassi, C. Feinauer, 2022, International Conference on Machine Learning.

The Mean Dimension of Neural Networks - What causes the interaction effects?

C. Feinauer, E. Borgonovo, Roman Hahn, 2022, ArXiv.

Context-Aware Generative Models for Multi-Domain Proteins using Transformers

A. Pagnani, M. Weigt, Barthélémy Meynard-Piganeau, 2022 .

Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry

R. Zecchina, Carlo Baldassi, C. Feinauer, 2022, ICML.

Architecture of a mammalian glomerular domain revealed by novel volume electroporation using nanoengineered microelectrodes

I. Whiteley, C. Bosch, D. Schwarz, 2018, Nature Communications.

Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria

Dominique Schneider, Martin Weigt, Christoph Feinauer, 2017, Proceedings of the National Academy of Sciences.

The Statistical Mechanics Approach to Protein Sequence Data: Beyond Contact Prediction

Christoph Feinauer, C. Feinauer, Christoph Feinauer, 2016 .

Inferring protein-protein interaction networks from inter-protein sequence co-evolution

A. Pagnani, M. Weigt, H. Szurmant, 2015, bioRxiv.

Inverse statistical physics of protein sequences: a key issues review

Simona Cocco, Rémi Monasson, Martin Weigt, 2017, Reports on progress in physics. Physical Society.

Reconstruction of pairwise interactions using energy-based models pdf

Carlo Lucibello, Christoph Feinauer, C. Lucibello, 2020, MSML.

Natural representation of composite data with replicated autoencoders

Matteo Negri, Carlo Baldassi, Riccardo Zecchina, 2019, bioRxiv.

Architecture of a mammalian glomerular domain revealed by novel volume electroporation using nanoengineered microelectrodes

T. Margrie, A. Schaefer, D. Schwarz, 2018, Nature Communications.

Improving Contact Prediction along Three Dimensions

Marcin J. Skwark, Erik Aurell, Andrea Pagnani, 2014, PLoS Comput. Biol..

Mean Dimension of Generative Models for Protein Sequences

C. Feinauer, E. Borgonovo, Christoph Feinauer, 2022, bioRxiv.

Interpretable pairwise distillations for generative protein sequence models

C. Lucibello, Barthélémy Meynard-Piganeau, C. Feinauer, 2021, bioRxiv.

Generating interacting protein sequences using domain-to-domain translation

A. Pagnani, M. Weigt, Barthélémy Meynard-Piganeau, 2022, bioRxiv.