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Lukas Milles

@LFMilles

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Starting a lab at @mpi_biochem and @GeneCenter_LMU summer 2024 with the Emmy Noether Programme, former postdoc @UWproteindesign

Joined June 2022
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@LFMilles
Lukas Milles
4 months
Excited to share that I am starting a lab focused on deep learning-based protein design, biophysics and fundamental biology at @MPI_Biochem and @GeneCenter_LMU in Munich with the Emmy Noether Programme this summer. Join us as a PhD or postdoc. More to follow soon!
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@LFMilles
Lukas Milles
2 years
Biophysical characterization, 7 crystal ( @RobertRagotte ) and 3 CryoEM (A. Courbet) structures validated these regularized designs (termed HALs), ranging from dimers (e.g. the helix in sheet's clothing in in panel A) to giant rings with over 1500 residues and 10 nm diameters. 4/5
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@LFMilles
Lukas Milles
2 years
However, experiments on 150 hallucinations were a monumental failure (all insoluble). Activation maximization had generated adversarial sequences. ProteinMPNN sequence design ( @JustasDauparas et al.) rescued these backbones, yielding over 70% soluble! 3/5
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@LFMilles
Lukas Milles
2 years
@LindorffLarsen Currently working on this with both a 6 and 10 amino acid alphabet, first experimental results should be coming in next week.
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@LFMilles
Lukas Milles
2 years
Excited to see what we can hallucinate next! Code and all design models, as well as experimental data here: 5/5
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@LFMilles
Lukas Milles
2 years
@enzymit @JustasDauparas @UWproteindesign Really impressive, did the enzymes show a change in activity after MPNN sequence design?
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@LFMilles
Lukas Milles
2 years
We develop a MCMC framework to hallucinate protein homooligomers starting from random sequences, guiding them towards cyclic symmetry via a geometric loss function. The results are a set of fully de novo assemblies with intricate and diverse topologies. 2/5
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@LFMilles
Lukas Milles
11 months
@BasileWicky @ETH_BSSE Congratulations! Very much looking forward to the Wicky lab's research.
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@LFMilles
Lukas Milles
2 years
@josearkanos Structure prediction infers protein structure from protein sequence. Broadly speaking, hallucination methods approach the inverse problem: finding a sequence that encodes a desired structure.
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