Structural and immunogenic evaluation of silk proteins from Bombyx mori using advanced bioinformatics and deep learning for biomaterials applications

Silk from Bombyx mori is a premier biomaterial. Yet, comprehensive structural and immunoinformatic characterization of its protein components—fibroin subunits (FibH, FibL, P25) and five sericin isoforms—remains incomplete, hindering rational design of biocompatible medical devices. We integrated AlphaFold3 structural prediction with multi-algorithm immunoinformatic profiling (VaxiJen, NetMHCpan, BepiPred, AllerTOP, ToxinPred) to establish structure-immunogenicity relationships across the silk proteome. Structural modeling revealed that FibL and P25 adopt well-defined architectures (pTM = 0.85), whereas FibH exhibited low confidence (ipTM/pTM = 0.28), reflecting its intrinsically disordered pre-assembly state. Sericins displayed predominantly disordered conformations that undergo partial ordering upon complexing with FibL-P25-Cu 2+ , supporting a disorder-to-order templating mechanism for fiber assembly. Immunoinformatic analysis revealed striking antigenic heterogeneity: P25 emerged as uniquely hypoimmunogenic, with subthreshold antigenicity (VaxiJen: 0.395), a single strong MHC-I binder for a single HLA allele, and minimal MHC-II reactivity. Conversely, FibL and FibH showed the highest potential for inducing CD8+ and CD4+ cell responses among the fibroin subunits, respectively. Ser-4 and Ser-1 exhibited a broad MHC coverage, presenting ≥ 10 strong binders in 81% and 30% of MHC-I alleles, respectively, as well as ≥ 4 high-priority peptides across all 27 and 6 tested MHC-II alleles, respectively. Allergenicity prediction classified FibH, FibL, Ser-2, and Ser-5 as probable allergens. All proteins were non-toxic. These findings challenge the paradigm that sericins exclusively drive silk immunogenicity, revealing instead an HLA-dependent risk profile dominated by FibL, FibH, Ser-4, and Ser-1. This computational framework provides a rational foundation for engineering hypoimmunogenic silk variants through P25 enrichment, epitope deletion, or HLA-matched biomaterial selection.

Authors

Institutions

Publication Details

Journal
Journal of Genetic Engineering and Biotechnology
Published
2026-04-26
DOI
https://doi.org/10.1016/j.jgeb.2026.100692
Primary Topic
Silk-based biomaterials and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural and immunogenic evaluation of silk proteins from Bombyx mori using advanced bioinformatics and deep learning for biomaterials applications

Yuliet Montoya Osorio, Lina María Salazar-Peláez, Andrés Puerta-González, John Bustamante-Osorno et al.
Journal of Genetic Engineering and Biotechnology
Silk-based biomaterials and applications
article

Structural and immunogenic evaluation of silk proteins from Bombyx mori using advanced bioinformatics and deep learning for biomaterials applications

Yuliet Montoya Osorio, Lina María Salazar-Peláez, Andrés Puerta-González, John Bustamante-Osorno, Alejandro Soto-Ospina
article en

Abstract

Silk from Bombyx mori is a premier biomaterial. Yet, comprehensive structural and immunoinformatic characterization of its protein components—fibroin subunits (FibH, FibL, P25) and five sericin isoforms—remains incomplete, hindering rational design of biocompatible medical devices. We integrated AlphaFold3 structural prediction with multi-algorithm immunoinformatic profiling (VaxiJen, NetMHCpan, BepiPred, AllerTOP, ToxinPred) to establish structure-immunogenicity relationships across the silk proteome. Structural modeling revealed that FibL and P25 adopt well-defined architectures (pTM = 0.85), whereas FibH exhibited low confidence (ipTM/pTM = 0.28), reflecting its intrinsically disordered pre-assembly state. Sericins displayed predominantly disordered conformations that undergo partial ordering upon complexing with FibL-P25-Cu 2+ , supporting a disorder-to-order templating mechanism for fiber assembly. Immunoinformatic analysis revealed striking antigenic heterogeneity: P25 emerged as uniquely hypoimmunogenic, with subthreshold antigenicity (VaxiJen: 0.395), a single strong MHC-I binder for a single HLA allele, and minimal MHC-II reactivity. Conversely, FibL and FibH showed the highest potential for inducing CD8+ and CD4+ cell responses among the fibroin subunits, respectively. Ser-4 and Ser-1 exhibited a broad MHC coverage, presenting ≥ 10 strong binders in 81% and 30% of MHC-I alleles, respectively, as well as ≥ 4 high-priority peptides across all 27 and 6 tested MHC-II alleles, respectively. Allergenicity prediction classified FibH, FibL, Ser-2, and Ser-5 as probable allergens. All proteins were non-toxic. These findings challenge the paradigm that sericins exclusively drive silk immunogenicity, revealing instead an HLA-dependent risk profile dominated by FibL, FibH, Ser-4, and Ser-1. This computational framework provides a rational foundation for engineering hypoimmunogenic silk variants through P25 enrichment, epitope deletion, or HLA-matched biomaterial selection.

Journal of Genetic Engineering and BiotechnologyVol. 24(2)
Universidad Pontificia Bolivariana (CO), Universidad de Antioquia (CO), Clínica CES (CO), Corporación Universitaria Lasallista (CO)
Sistema General de Regalías de Colombia
Openalex Percentile: Top 16%
Silk-based biomaterials and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.