A Review on Bioinformimimetics: Revolutionizing Science through AI-Driven Synergy of Bioinformatics and Biomimicry

Our review work proposes Bioinformimimetics, an emerging interdisciplinary field that synergises biomimetic principles with bioinformatics to redefine the boundaries of material science. This endeavour transcends traditional biomimetics through predictive modelling, molecular simulations, and genetic insights to design highly functional, scalable materials. Biomimicry of nature’s intricate structures and processes, bioinformimimetics unlocks new possibilities in the creation of bio-inspired materials, such as resilient nanostructures, bio adhesive surfaces. AI-driven simulations and computational modeling, bioinformimimetics leverages large-scale databases to replicate nature’s elegance in design and novelity in tackling long term hurdles, offering transformative potential in industries ranging from tissue engineering to sustainable manufacturing. This review explores the interplay between bioinformatics, molecular dynamics simulations, and artificial emphasizing their role in advancing biomimetic materials. The review also anticipates future trends, including the integration of metagenomics-guided material innovation and biomimicry engineering, positioning bioinformimimetics as a cornerstone for sustainable material science. By leveraging biological mimicry with computational advancements, bioinformimimetics is poised to usher in a new era of high-performance, sustainable, and ethically designed materials that can revolutionize not only material science but also various sectors, from healthcare to environmental sustainability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-07
DOI
https://doi.org/10.5281/zenodo.15168464
Primary Topic
Nanotechnology research and applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A Review on Bioinformimimetics: Revolutionizing Science through AI-Driven Synergy of Bioinformatics and Biomimicry

Zenodo (CERN European Organization for Nuclear Research)
Nanotechnology research and applications
article

A Review on Bioinformimimetics: Revolutionizing Science through AI-Driven Synergy of Bioinformatics and Biomimicry

article en

Abstract

Our review work proposes Bioinformimimetics, an emerging interdisciplinary field that synergises biomimetic principles with bioinformatics to redefine the boundaries of material science. This endeavour transcends traditional biomimetics through predictive modelling, molecular simulations, and genetic insights to design highly functional, scalable materials. Biomimicry of nature’s intricate structures and processes, bioinformimimetics unlocks new possibilities in the creation of bio-inspired materials, such as resilient nanostructures, bio adhesive surfaces. AI-driven simulations and computational modeling, bioinformimimetics leverages large-scale databases to replicate nature’s elegance in design and novelity in tackling long term hurdles, offering transformative potential in industries ranging from tissue engineering to sustainable manufacturing. This review explores the interplay between bioinformatics, molecular dynamics simulations, and artificial emphasizing their role in advancing biomimetic materials. The review also anticipates future trends, including the integration of metagenomics-guided material innovation and biomimicry engineering, positioning bioinformimimetics as a cornerstone for sustainable material science. By leveraging biological mimicry with computational advancements, bioinformimimetics is poised to usher in a new era of high-performance, sustainable, and ethically designed materials that can revolutionize not only material science but also various sectors, from healthcare to environmental sustainability.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Nanotechnology research and applications
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