Evidence map›Paper›PMID 39071443›Full record

ArticlebioRxiv : the preprint server for biology2024

Deep learning guided design of dynamic proteins.

Amy B Guo, Deniz Akpinaroglu, Mark J S Kelly, Tanja Kortemme

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

4 authors.

Amy B GuoThe UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco; San Francisco, CA 94143, USA.ORCID 0000-0003-4775-9498
Deniz AkpinarogluThe UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco; San Francisco, CA 94143, USA.ORCID 0000-0002-5482-0720
Mark J S KellyDepartment of Pharmaceutical Chemistry, University of California, San Francisco; San Francisco, CA 94143, USA.ORCID 0000-0003-3209-1018
Tanja KortemmeThe UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco; San Francisco, CA 94143, USA.ORCID 0000-0002-8494-680X

Funding

Equipment Supplement - Computational design of proteins and protein functionsR35GM145236 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 2022 to 2025
$2.4M
A 600 MHz NMR console and cryoprobe for studies of macromolecules, drug discovery and cancer biomarkersS10OD023455 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, JOHN D · 2018 to 2018
$820k
NIGMS NIH HHS R35 GM145236NIH HHS S10 OD023455
6 · The paper itself

Abstract

Deep learning has greatly advanced design of highly stable static protein structures, but the controlled conformational dynamics that are hallmarks of natural switch-like signaling proteins have remained inaccessible to

Identifiers

PMID39071443
PMCPMC11275770

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.