引用次数
引用: 3,741
H-指数: 22
I10-指数 : 31
出版物: 55
Smart polymers as linkers in single molecule force spectroscopy
H. E. Gaub , M. A. Jobst , W. Ott , E. D. Durner
European Biophysics Journal
2017
Revealing binding conformations of protein receptor ligand systems and their nano-arrangement by AFM
H. E. Gaub , M. A. Jobst , W. Ott , E. D. Durner
European Biophysics Journal
2017
Molecular Tools for Advanced Single-Molecule Studies
Fabian Baumann , Magnus Sebastian Bauer , Lukas Frederik Milles , Hermann Eduard Gaub
Biophysical Journal 110 ( 3)
2016
Structural and mechanistic insights into mechanoactivation of focal adhesion kinase
Magnus Sebastian Bauer , Fabian Baumann , Csaba Daday , Pilar Redondo
Proceedings of the National Academy of Sciences of the United States of America 116 ( 14) 6766 -6774
81
2019
Energy profile of nanobody–GFP complex under force
Kamila Klamecka , Philip M Severin , Lukas F Milles , Hermann E Gaub
Physical Biology 12 ( 5) 056009 -056009
11
2015
Comparing AFM cantilever stiffness measured using the thermal vibration and the improved thermal vibration methods with that of an SI traceable method based on MEMS
Uwe Brand , Sai Gao , Wolfgang Engl , Thomas Sulzbach
Measurement Science and Technology 28 ( 3) 034010
12
2017
Extreme mechanical stability in protein complexes.
Lukas F Milles , Hermann E Gaub
Current Opinion in Structural Biology 60 124 -130
25
2020
Resolving dual binding conformations of cellulosome cohesin-dockerin complexes using single-molecule force spectroscopy.
Markus A Jobst , Lukas F Milles , Constantin Schoeler , Wolfgang Ott
eLife 4
38
2015
From genes to protein mechanics on a chip
Marcus Otten , Wolfgang Ott , Markus A Jobst , Lukas F Milles
Nature Methods 11 ( 11) 1127 -1130
58
2014
Corrigendum: From genes to protein mechanics on a chip
Marcus Otten , Wolfgang Ott , Markus A Jobst , Lukas F Milles
Nature Methods 12 ( 2) 160 -160
2015
Robust deep learning--based protein sequence design using ProteinMPNN
Justas Dauparas , Ivan Anishchenko , Nathaniel Bennett , Hua Bai
Science 378 ( 6615) 49 -56
79
2022
Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models
Joseph L Watson , David Juergens , Nathaniel R Bennett , Brian L Trippe
BioRxiv 2022 -12
9
2022
Scaffolding protein functional sites using deep learning
Jue Wang , Sidney Lisanza , David Juergens , Doug Tischer
Science 377 ( 6604) 387 -394
43
2022
Language models generalize beyond natural proteins
Robert Verkuil , Ori Kabeli , Yilun Du , Basile IM Wicky
bioRxiv 2022 -12
2
2022
Effects of Variants of Concern Mutations on the Force-Stability of the SARS-CoV-2: ACE2 Interface and Virus Transmissibility
Magnus S Bauer , Sophia Gruber , Adina Hausch , Marcelo CR Melo
bioRxiv 2023 -01
2023
De novo design of protein structure and function with RFdiffusion
Joseph L Watson , David Juergens , Nathaniel R Bennett , Brian L Trippe
Nature 620 ( 7976) 1089 -1100
359
2023
De novo design of knotted tandem repeat proteins
Lindsey A Doyle , Brittany Takushi , Ryan D Kibler , Lukas F Milles
Nature Communications 14 ( 1) 6746 -6746
4
2023
Deep learning methods for designing proteins scaffolding functional sites
Jue Wang , Sidney Lisanza , David Juergens , Doug Tischer
BioRxiv 2021.11. 10.468128 -2021.11. 10.468128
35
2021
Improving protein expression, stability, and function with ProteinMPNN
Kiera H Sumida , Reyes Núñez-Franco , Indrek Kalvet , Samuel J Pellock
Journal of the American Chemical Society 146 ( 3) 2054 -2061
19
2024
Hallucination of closed repeat proteins containing central pockets
Linna An , Derrick R Hicks , Dmitri Zorine , Justas Dauparas
Nature Structural & Molecular Biology 30 ( 11) 1755 -1760
5
2023