Data · dataset · 2026
<b>Cross-Kingdom Chimeric Protein Engineering: Concepts, Design Challenges, Validation Strategies, and Opportunities for India</b>
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34042383.v1
<p dir="ltr">Protein engineering has evolved from modifying naturally occurring proteins toward modular, computational, and AI-assisted approaches for designing new molecular functions.
Description
Chimeric and fusion protein engineering has demonstrated that functional elements from different proteins can be reorganized into novel architectures, while advances in computational design, structure prediction, and artificial intelligence have expanded the sequence and structural space accessible to engineering.
Building on these developments, this review examines <b>cross-kingdom chimeric protein engineering</b> as a proposed extension of modular protein engineering in which functionally relevant elements from evolutionarily distant biological systems are deliberately integrated into a single protein architecture. The scientific rationale, potential opportunities, and major design challenges are discussed, with emphasis on protein folding and stability, domain and interface compatibility, linker architecture, regulatory and cellular context, and unintended molecular interactions.
Read the rest (2 more)
The review further considers computational and AI-assisted approaches for donor selection, sequence and structural analysis, architecture design, candidate prioritization, and iterative optimization. However, computational plausibility alone cannot establish biological function experimental validation therefore remains essential, progressing from biochemical and structural characterization to cellular and functional evaluation with appropriate controls.
The review also examines India’s capabilities relevant to advanced protein design, including computational biology, structural biology, protein engineering, synthetic biology, and related bio manufacturing, while identifying interdisciplinary integration and specialized expertise as important opportunities. Finally, a framework is proposed to strengthen design build test learn capabilities in India and support systematic investigation of cross-kingdom protein engineering as a scientifically testable research direction.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34042383.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering · Engineering · Gene and molecular therapy · Gene and molecular therapy · Gene and molecular therapy · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health
Provenance · 3 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34042383 | 7 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34042383 | 7 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34042383 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:320601 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Gene and molecular therapy'] |
| concepts[field].anzsrc:field:320601 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Gene and molecular therapy'] |
| concepts[field].anzsrc:field:320601 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Gene and molecular therapy'] |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |