Evidence map›Paper›PMID 42782706›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Embrace Disorder as a Function: Bio-Informed Biomaterials Design Advanced by Intrinsically Disordered Proteins.

Candan Tamerler, Malcolm L Snead

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 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

2 authors.

Candan TamerlerInstitute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA.ORCID 0000-0002-1960-2218
Malcolm L SneadInstitute for Bioengineering Research, University of Kansas, Lawrence, KS 66045, USA.ORCID 0000-0002-4496-6478

Funding

Nanotechnology Strategies for Growth of Bones and TeethR01DE015920 · NIDCR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SNEAD, MALCOLM L., STUPP, SAMUEL I · 2005 to 2015
$5.8M
DETERMINATION AND EXPRESSION OF AMELOGENIN GENE PRODUCTSR01DE006988 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SNEAD, MALCOLM L. · 1985 to 2012
$4.4M
Peptide-Polymer Engineering Dentin/Adhesive Interfacial Bond IntegrityR01DE025476 · NIDCR · UNIVERSITY OF KANSAS LAWRENCE · PI SPENCER, PAULETTE, TAMERLER-BEHAR, CANDAN · 2015 to 2024
$3.2M
CELL AND GENETIC APPROACHES TO ENAMEL BIOMIMETICSR37DE013045 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SNEAD, MALCOLM L. · 2000 to 2007
$3.0M
CELL AND GENETICS APPROACHES TO ENAMEL BIOMIMETICSR01DE013045 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SNEAD, MALCOLM L. · 1998 to 2014
$1.9M
Peptide Enabled Tunable Restorative InterfaceR56DE032903 · NIDCR · UNIVERSITY OF KANSAS LAWRENCE · PI SNEAD, MALCOLM L., SPENCER, PAULETTE · 2023 to 2023
$467k
NIDCR NIH HHS R01 DE006988NIDCR NIH HHS R01 DE013045NIDCR NIH HHS R01 DE015920NIDCR NIH HHS R01 DE025476NIDCR NIH HHS R01 DE06988NIDCR NIH HHS R37 DE013045NIDCR NIH HHS R56 DE032903
6 · The paper itself

Abstract

The "lock and key" model of molecular recognition, anchored by the canonical sequence-structure-function paradigm, has successfully served as a basis for designing biomimetic biomaterials for decades. This classical concept associates the function of molecules with a stable three-dimensional structure that recognizes a specific complementary surface. However, biological systems routinely achieve specificity, adaptability, and multifunctionality through protein domains that never adopt a single stable fold. Intrinsically Disordered Proteins (IDPs) and Intrinsically Disordered Regions (IDRs) represent an underutilized functional repertoire in which conformational plasticity, short linear motifs, and phase-separation capacity underpin behaviors that rigid-fold proteins cannot replicate. This Perspective Article extends the molecular biomimetic design framework to the broader range of IDPs/IDRs roles-as effectors triggering downstream signaling, as motion-directing elements interacting with external partners, and as molecular assemblers that organize dynamic complexes while largely avoiding the steric constraints that structured proteins impose. Sequence plasticity, which is greater in disordered domains than in structured proteins, further expands this versatility. Metamorphic and moonlighting proteins further extend the sequence-to-function landscape by encoding multiple folds or functions within a single chain. We discuss how this bio-informed framework guides peptide-based biomaterials design by exploiting the dynamic, multivalent interactions of IDPs. Artificial Intelligence (AI)-guided approaches and machine learning strategies-from supervised classifiers to reinforcement learning loops-that are integrated with experimental feedback to navigate within these high-dimensional design landscapes of intrinsically disordered bio-informed materials systems are provided. Next-generation bio-informed material design must meet challenges driven by clinical, environmental, and industrial needs. Expanding protein matrix in bio-informed material design may enable mimicking complex, dynamic and hierarchical biological functions and materials that are found in Nature. Embracing disorder may even expand functions beyond addressing current challenges. Moving beyond the single-structure paradigm that has dominated the biomimetic field, embracing disorder in biological protein repertoire may give rise to emerging functions in bio-informed biomaterials. These functions are truly adaptive, modular, resourceful, responsive, and sustainable.

Indexed as

artificial intelligencebio-informed biomaterialsbiomineralizationfunctional peptide designintrinsically disordered proteinsmachine learningshort linear motifs

Identifiers

PMID42782706
PMCPMC13604059

What OpenQuestion holds

Textmetadata
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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.