Christian Dallago

Christian Dallago

Technische Universität München

H-index: 19

Europe-Germany

About Christian Dallago

Christian Dallago, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Bioinformatics, BioCS, BioML.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel machine learning approaches revolutionize protein knowledge

The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue

From sequence to function through structure: Deep learning for protein design

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

LambdaPP: Fast and accessible protein‐specific phenotype predictions

Illuminating enzyme design using deep learning

Standards, tooling and benchmarks to probe representation learning on proteins

Christian Dallago Information

University

Position

___

Citations(all)

2736

Citations(since 2020)

2724

Cited By

245

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Christian Dallago Skills & Research Interests

Bioinformatics

BioCS

BioML

Top articles of Christian Dallago

Title

Journal

Author(s)

Publication Date

Novel machine learning approaches revolutionize protein knowledge

Nicola Bordin

Christian Dallago

Michael Heinzinger

Stephanie Kim

Maria Littmann

...

2023/4/1

The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

bioRxiv

Hugo Dalla-Torre

Liam Gonzalez

Javier Mendoza-Revilla

Nicolas Lopez Carranza

Adam Henryk Grzywaczewski

...

2023/1/15

Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue

bioRxiv

Nicole Zatorski

Yifei Sun

Abdulkadir Elmas

Christian Dallago

Timothy Karl

...

2023/2/24

From sequence to function through structure: Deep learning for protein design

Noelia Ferruz

Michael Heinzinger

Mehmet Akdel

Alexander Goncearenco

Luca Naef

...

2023/1/1

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

arXiv preprint arXiv:2310.04610

Shuaiwen Leon Song

Bonnie Kruft

Minjia Zhang

Conglong Li

Shiyang Chen

...

2023/10/6

LambdaPP: Fast and accessible protein‐specific phenotype predictions

Protein Science

Tobias Olenyi

Céline Marquet

Michael Heinzinger

Benjamin Kröger

Tiha Nikolova

...

2023/1

Illuminating enzyme design using deep learning

Nature Chemistry

Christian Dallago

Kevin K Yang

2023/5/29

Standards, tooling and benchmarks to probe representation learning on proteins

Joaquin Gomez Sanchez

Sebastian Franz

Michael Heinzinger

Burkhard Rost

Christian Dallago

2022/11/28

TMvisDB: resource for transmembrane protein annotation and 3D visualization

bioRxiv

Céline Marquet

Anastasia Grekova

Leen Houri

Michael Bernhofer

Luisa Jimenez-Soto

...

2022

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

The International Journal of High Performance Computing Applications

Maxim Zvyagin

Alexander Brace

Kyle Hippe

Yuntian Deng

Bin Zhang

...

2023/11

A roadmap for the functional annotation of protein families: a community perspective

Database

Valérie de Crécy-Lagard

Rocio Amorin de Hegedus

Cecilia Arighi

Jill Babor

Alex Bateman

...

2022/12/26

3d infomax improves gnns for molecular property prediction

Hannes Stärk

Dominique Beaini

Gabriele Corso

Prudencio Tossou

Christian Dallago

...

2022/6/28

ProteomicsDB: toward a FAIR open-source resource for life-science research

Nucleic Acids Research

Ludwig Lautenbacher

Patroklos Samaras

Julian Muller

Andreas Grafberger

Marwin Shraideh

...

2022/1/7

Embeddings from deep learning transfer GO annotations beyond homology

Scientific reports

Maria Littmann

Michael Heinzinger

Christian Dallago

Tobias Olenyi

Burkhard Rost

2021/1/13

Clustering FunFams using sequence embeddings improves EC purity

Bioinformatics

Maria Littmann

Nicola Bordin

Michael Heinzinger

Konstantin Schütze

Christian Dallago

...

2021/10/15

Embeddings from protein language models predict conservation and variant effects

Human Genetics

Céline Marquet

Michael Heinzinger

Tobias Olenyi

Christian Dallago

Kyra Erckert

...

2021/12/30

Light attention predicts protein location from the language of life

Bioinformatics Advances

Hannes Stärk

Christian Dallago

Michael Heinzinger

Burkhard Rost

2021

SARS-CoV-2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms

Molecular Systems Biology

Seán I O’Donoghue

Andrea Schafferhans

Neblina Sikta

Christian Stolte

Sandeep Kaur

...

2021/9/1

Protein embeddings and deep learning predict binding residues for various ligand classes

Scientific Reports

Maria Littmann

Michael Heinzinger

Christian Dallago

Konstantin Weissenow

Burkhard Rost

2021/12/13

FLIP: Benchmark tasks in fitness landscape inference for proteins

Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)

Christian Dallago

Jody Mou

Kadina E Johnston

Bruce J Wittmann

Nicholas Bhattacharya

...

2021/11/11

See List of Professors in Christian Dallago University(Technische Universität München)

Co-Authors

H-index: 111
Gary Bader

Gary Bader

University of Toronto

H-index: 106
Burkhard Rost

Burkhard Rost

Technische Universität München

H-index: 26
Martin Steinegger

Martin Steinegger

Seoul National University

H-index: 15
Nicola Bordin

Nicola Bordin

University College London

H-index: 15
Anna G. Green

Anna G. Green

Harvard University

H-index: 13
Maria Littmann

Maria Littmann

Technische Universität München

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