Evidence map›Paper›PMID 42182488›Full record

ArticlebioRxiv : the preprint server for biology2026

Reverse-engineering amyloid strains with generative protein design.

Laxmikant Gadhe, Katerina Konstantoulea, Aneesh Mazumder, Jie Chen, Lukasz A Joachimiak, Nikolaos N Louros

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laxmikant GadheCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-3157-2998
Katerina KonstantouleaCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-0960-6274
Aneesh MazumderCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0009-0001-8668-396X
Jie ChenCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lukasz A JoachimiakCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-3061-5850
Nikolaos N LourosCenter for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-4030-1022

Funding

J-domain protein conformational selectivity for tau in diseaseRF1AG078888 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI JOACHIMIAK, LUKASZ A. · 2022 to 2022
$1.2M
TEM for UT Southwestern Electron Microscopy Core FacilityS10OD021685 · OD · UT SOUTHWESTERN MEDICAL CENTER · PI LUBY-PHELPS, KATHERINE J · 2017 to 2017
$398k
NIA NIH HHS RF1 AG078888NIH HHS S10 OD021685
6 · The paper itself

Abstract

Amyloid fibrils are intrinsically polymorphic protein assemblies that form distinct structural strains linked to diverse biological and pathological outcomes. Yet, the principles governing how sequence encodes diverse fibril architectures, and the extent to which a given fold constrains underlying amino-acid sequence compatibility, remain poorly understood. Here, we apply generative protein design to directly interrogate the sequence-structure relationship of defined fibril architectures, using α-synuclein (αS), a protein known to form highly polymorphic amyloid fibrils, as a model system. Sampling sequence space under structural constraints reveals a continuous compatibility manifold in which diverse sequences encode a common amyloid architecture.

Identifiers

PMID42182488
PMCPMC13192627

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.