Evidence map›Paper›PMID 36161946›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.

Eesha Khare, Chi-Hua Yu, Constancio Gonzalez Obeso, Mario Milazzo, David L Kaplan, Markus J Buehler

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  7. De Novo Design of Specific Heterotrimeric Collagen-Like Peptides via Genetic Algorithm.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Review
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  15. Elucidating the role of water in collagen self-assembly by isotopically modulating collagen hydration.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic-Organic Materials.Chemistry of materials : a publication of the American Chemical Society · 2023
    Review
  18. Physics-supervised deep learning-based optimization (PSDLO) with accuracy and efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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 at 3 institutions in 3 countries.

Eesha KhareLaboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-8696-9821
Chi-Hua YuLaboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-9445-3358
Constancio Gonzalez ObesoDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155.ORCID 0000-0003-4878-5049
Mario MilazzoLaboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, Cambridge, MA 02139.
David L KaplanDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155.ORCID 0000-0002-9245-7774
Markus J BuehlerLaboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-4173-9659
Massachusetts Institute of Technology · USTufts University · USUniversity of Pisa · IT

Funding

Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
Models to Predict Protein Biomaterial PerformanceU01EB014976 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI BUEHLER, MARKUS J., KAPLAN, DAVID L. · 2012 to 2020
$5.2M
NIBIB NIH HHS P41 EB027062NIBIB NIH HHS U01 EB014976
6 · The paper itself

Abstract

Collagen is the most abundant structural protein in humans, providing crucial mechanical properties, including high strength and toughness, in tissues. Collagen-based biomaterials are, therefore, used for tissue repair and regeneration. Utilizing collagen effectively during materials processing ex vivo and subsequent function in vivo requires stability over wide temperature ranges to avoid denaturation and loss of structure, measured as melting temperature (T

Indexed as

Deep LearningAmino Acid SequenceBiocompatible MaterialsCollagenHumansMolecular Dynamics SimulationBiocompatible MaterialsCollagencollagendeep learninggenerative algorithmmechanicsthermal stability

Identifiers

PMID36161946
PMCPMC9546622
OpenAlexW4297257906

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.