Artificial intelligence in accelerating vaccine development - current and future perspectives

Frontiers in Bacteriology, Journal Year: 2023, Volume and Issue: 2

Published: Oct. 9, 2023

Tackling antimicrobial resistance requires the development of new drugs and vaccines. Artificial intelligence (AI) assisted computational approaches offer an alternative to traditionally empirical drug vaccine discovery pipelines. In this mini review, we focus on increasingly important role that AI now plays in vaccines provide reader with methods used identify candidate candidates for selected multi-drug resistant bacteria.

Language: Английский

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Development of a novel multi-epitope subunit mRNA vaccine candidate to combat Acinetobacter baumannii

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 9, 2025

Acinetobacter baumannii, an opportunistic bacterium prevalent in various environment, is a significant cause of nosocomial infections ICUs. As the causative agent pneumonia, septicemia, and meningitis, A. baumannii typically exhibits multidrug resistance associated with poor prognosis, thus led to challenge for researchers developing new treatment prevention methods. This study involved development novel multi-epitope mRNA vaccine validation silico approaches was conducted. We screened 11 immunodominant epitopes cytotoxic T cells, 5 helper 10 Linear B-cell based on promising candidate proteins omp33-36, ompA ompW, selection these three reverse vaccinology screening previous work by other researchers. All predicted demonstrated strong antigenicity, immunogenicity without posing any potential harm humans. Additionally, high conservancy required cover different strains. epitopes, as well adjuvants, were constructed into final vaccine, which further assessed calculating its physicochemical properties. Next, we docked protein immune receptors analyzed complexes dynamic simulations evaluate affinity receptors. At last, sequence translated sequence. The results indicated capability eliciting robust humoral cellular responses, making it protection against targeted pathogen.

Language: Английский

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Vaccine development to control the rising scourge of antibiotic-resistant Acinetobacter baumannii: a systematic review

3 Biotech, Journal Year: 2022, Volume and Issue: 12(3)

Published: March 1, 2022

Language: Английский

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Promising Acinetobacter baumannii Vaccine Candidates and Drug Targets in Recent Years

Frontiers in Immunology, Journal Year: 2022, Volume and Issue: 13

Published: May 26, 2022

In parallel to the uncontrolled use of antibiotics, emergence multidrug-resistant bacteria, like Acinetobacter baumannii , has posed a severe threat. A. predominates in nosocomial setting due its ability persist hospitals and survive antibiotic treatment, thereby eventually leading an increasing prevalence mortality infection. With spectra drug resistance incessant collapse newly discovered new therapeutic countermeasures have been high demand. Hence, recent research shown favouritism towards long-term solution designing vaccines. Therefore, being realistic alternative strategy combat this pathogen, anti- Baumannii vaccines continued unearthing various antigens with variable results over last decade. Again, other approaches, including pan-genomics, subtractive proteomics, reverse vaccination strategies, promise for identifying promiscuous core vaccine candidates that resulted chimeric constructs. addition, integration basic knowledge pathobiology drug-resistant bacteria also facilitated development effective multiantigen As opposed conventional trial-and-error approach, incorporating silico methods studies, particularly network analysis, manifested great novel from proteome. Some studies used multiple data sources build co-functional networks analyze them by k-shell decomposition. Additionally, Whole Genomic Protein Interactome (GPIN) analysis utilized rational approach essential proteins presenting as enough deadly pathogenic threats . Others identified immune nodes using network-based centrality measurements synergistic antigen combinations different strategies. Protein-protein interactions inferenced utilizing structural such molecular docking dynamics simulation. Similar workflows technologies were employed unveil targets, similar trend influx techniques. This review integrates latest on while highlighting future exploratory research. parallel, we briefly summarize advancements target

Language: Английский

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Structural diversity among Acinetobacter baumannii K-antigens and its implication in the in silico serotyping

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: June 21, 2023

Acinetobacter baumannii is an emerging opportunistic pathogen. It exhibits multi-, extreme-, and pan-drug resistance against several classes of antibiotics. Capsular polysaccharide (CPS or K-antigen) one the major virulence factors which aids A. in evading host immune system. K-antigens exploit Wzx/Wzy-dependent pathway that involves 13 different proteins for its assembly transport onto outer membrane. A total 64 (out 237 K-locus(KL) types) known K-antigen sugar repeating structures are discussed here classified into seven groups based on their initial sugars, QuiNAc4NAc, GalNAc, GlcNAc, Gal, QuiNAc/FucNAc, FucNAc, GlcNAc along with Leg5Ac7Ac/Leg5Ac7R. Thus, corresponding initializing glycosyltransferases (ItrA1, ItrA2, ItrA3, ItrA4, ItrB1, ItrB3, ItrA3 ItrB2) exhibit serotype specificity. The modeled 3D-structural repository can be accessed at https://project.iith.ac.in/ABSD/k_antigen.html . topology further reveals presence 2-6 0-4 monomers main side chains, respectively. negatively (predominant) neutrally charged observed Such diversity composition provides K-typing specificity ( viz ., 18–69% terms reliability) Wza, Wzb, Wzc, Wzx, Wzy involved pathway. Interestingly, degree uniqueness these among K-types estimated to 76.79%, considering reference sequences. This article summarizes structural creation a digital systematic analysis transportation marker proteins.

Language: Английский

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Non-antibiotic prevention and treatment against Acinetobacter baumannii infection: Are vaccines and adjuvants effective strategies?

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: Jan. 25, 2023

Acinetobacter baumannii (A. baumannii) is a Gram-negative opportunistic pathogen widely attached to the surface of medical instruments, making it one most common pathogens nosocomial infection, and often leading cross-infection co-infection. Due extensive antibiotic pan-resistance, A. infection facing fewer treatment options in clinic. Therefore, prevention have become tricky global problem. The requirement for research development new strategy urgent. Now, non-antibiotic strategies are urgently needed. This review describes on vaccines antibacterial adjuvants, discusses advantages disadvantages different candidate tested vitro vivo, especially subunit protein vaccines, shows efficacy adjuvant drugs monotherapy.

Language: Английский

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BauA and Omp34 surface loops trigger protective antibodies against Acinetobacter baumannii in a murine sepsis model

International Immunopharmacology, Journal Year: 2022, Volume and Issue: 108, P. 108731 - 108731

Published: March 31, 2022

Language: Английский

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Combination of BauA and OmpA elicit immunoprotection against Acinetobacter baumannii in a murine sepsis model

Microbial Pathogenesis, Journal Year: 2022, Volume and Issue: 173, P. 105874 - 105874

Published: Nov. 8, 2022

Language: Английский

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Rational and mechanistic approaches for improving biocatalyst performance

Chem Catalysis, Journal Year: 2022, Volume and Issue: 2(10), P. 2614 - 2643

Published: Oct. 1, 2022

Language: Английский

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Artificial Intelligence Application for Anti-tumor Drug Synergy Prediction

Current Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 31(40), P. 6572 - 6585

Published: March 16, 2024

Currently, the main therapeutic methods for cancer include surgery, radiation therapy, and chemotherapy. However, chemotherapy still plays an important role in tumor therapy. Due to variety of pathogenic factors, development process tumors is complex regulated by many treatment a single drug easy cause human body produce drug-resistant phenotype specific drugs eventually leads failure. In clinical treatment, combination multiple can stronger anti-tumor effects regulating mechanisms reduce problem resistance while reducing toxic side drugs. Therefore, it great challenge construct efficient accurate screening method that systematically consider synergistic anti- synergy prediction importance improving outcomes. identifying effective combinations remains challenging task. This review provides comprehensive overview therapy application artificial intelligence (AI) techniques prediction. addition, we discuss challenges perspectives associated with deep learning approaches. conclusion, AI techniques' further advance our understanding provide more plans reasonable use strategies guidance.

Language: Английский

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