Evidence map›Paper›PMID 42823401›Full record

ArticleNature communications2026

A machine learning method for calculating highly localized protein stabilities.

Chenlin Lu, Kyle C Weber, Savannah K McBride, Andrew Reckers, Anum Glasgow

Abstract read
In one paragraph

Article in Nature communications, 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

5 authors.

Chenlin Lu *Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.ORCID 0000-0002-5655-2993
Kyle C Weber *Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.
Savannah K McBrideDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.ORCID 0000-0001-8585-8038
Andrew ReckersDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA.
Anum GlasgowDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. ag4522@cumc.columbia.edu.ORCID 0000-0002-0938-881X

Funding

Computationally designed, small molecule-responsive cell receptors for treating solid tumorsR21EB035208 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Anum Azam Glasgow · 2024 to 2026
$640k
Mechanism-informed design of allosteric protein sensorsR35GM157185 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Anum Azam Glasgow · 2025 to 2026
$608k
NIBIB NIH HHS R21 EB035208NIGMS NIH HHS R35 GM157185U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R21EB035208U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM157185
6 · The paper itself

Abstract

The residue-level free energy of opening (∆G

Indexed as

Machine LearningProteinsMass SpectrometryProtein StabilityThermodynamicsProteins

Identifiers

PMID42823401
PMCPMC13631364

What OpenQuestion holds

Textmetadata
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.