Peptide Self-Assembled Nanocarriers for Cancer Drug Delivery

The Journal of Physical Chemistry B, Journal Year: 2023, Volume and Issue: 127(9), P. 1857 - 1871

Published: Feb. 22, 2023

The design of novel cancer drug nanocarriers is critical in the framework therapeutics. Nanomaterials are gaining increased interest as delivery systems. Self-assembling peptides constitute an emerging class highly attractive nanomaterials with promising applications delivery, they can be used to facilitate release and/or stability while reducing side effects. Here, we provide a perspective on peptide self-assembled for and highlight aspects metal coordination, structure stabilization, cyclization, well minimalism. We review particular challenges nanomedicine criteria and, finally, future perspectives addressing portion via self-assembling consider that intrinsic advantages such systems, along increasing progress computational experimental approaches their study design, could possibly lead classes single or multicomponent systems incorporating materials delivery.

Language: Английский

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Stabilization challenges and aggregation in protein-based therapeutics in the pharmaceutical industry

RSC Advances, Journal Year: 2023, Volume and Issue: 13(51), P. 35947 - 35963

Published: Jan. 1, 2023

Protein-based therapeutics have revolutionized the pharmaceutical industry and become vital components in development of future therapeutics. They offer several advantages over traditional small molecule drugs, including high affinity, potency specificity, while demonstrating low toxicity minimal adverse effects. However, manufacturing processes protein-based presents challenges related to protein folding, purification, stability immunogenicity that should be addressed. These proteins, like other biological molecules, are prone chemical physical instabilities. The drugs throughout entire manufacturing, storage delivery process is essential. occurrence structural instability resulting from misfolding, unfolding, modifications, as well aggregation, poses a significant risk efficacy these overshadowing their promising attributes. Gaining insight into alterations caused by aggregation impact on for advancement refinement Hence, this review, we discussed some features during production, formulation stabilization strategies engineering computational methods prevent aggregation.

Language: Английский

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Integrating Computation, Experiment, and Machine Learning in the Design of Peptide‐Based Supramolecular Materials and Systems

Angewandte Chemie International Edition, Journal Year: 2023, Volume and Issue: 62(18)

Published: Feb. 2, 2023

Abstract Interest in peptide‐based supramolecular materials has grown extensively since the 1980s and application of computational methods paralleled this. These contribute to understanding experimental observations based on interactions inform design new systems. They are also used virtually screen navigate these very large spaces. Increasingly, use artificial intelligence is employed far more candidates than traditional methods. Based a brief history experimentally integrated investigations peptide structures, we explore recent impactful examples computationally driven investigation into self‐assembly, focusing advances methodology development. It clear that integration between experiment computation understand systems becoming near seamless this growing field.

Language: Английский

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Advances in Peptide-Based Hydrogel for Tissue Engineering

Polymers, Journal Year: 2023, Volume and Issue: 15(5), P. 1068 - 1068

Published: Feb. 21, 2023

The development of peptide-based materials has emerged as one the most challenging aspects biomaterials in recent years. It been widely acknowledged that can be used a broad range biomedical applications, particularly tissue engineering. Among them, hydrogels have attracting considerable interest engineering because they mimic formation conditions by providing three-dimensional environment and high water content. found received more attention due to mimicking proteins, extracellular matrix well wide variety applications are capable serving. is without doubt become leading today owing their tunable mechanical stability, content, biocompatibility. Here, we discuss detail various types materials, emphasizing hydrogels, then examine how formed, paying particular peptide structures incorporated into final structure. Following that, self-assembly under conditions, parameters considered critical factors, which include pH, amino acid composi- tion within sequence, cross-linking techniques. Further, studies on reviewed.

Language: Английский

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Bioinformatics analysis and consistency verification of a novel tuberculosis vaccine candidate HP13138PB

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

Published: Jan. 27, 2023

Background With the increasing incidence of tuberculosis (TB) and shortcomings existing TB vaccines to prevent in adults, new need be developed address complex epidemic. Method The dominant epitopes were screened from antigens construct a novel epitope vaccine termed HP13138PB. immune properties, structure, function HP13138PB predicted analyzed with bioinformatics immunoinformatics. Then, responses induced by confirmed enzyme-linked immunospot assay (ELISPOT) Th1/Th2/Th17 multi-cytokine detection kit. Result consisted 13 helper T lymphocytes (HTL) epitopes, cytotoxic (CTL) 8 B-cell epitopes. It was found that antigenicity, immunogenicity, solubility index 0.87, 2.79, 0.55, respectively. secondary structure prediction indicated had 31% α-helix, 11% β-strand, 56% coil. tertiary analysis suggested Z-score Favored region -4.47 88.22%, Furthermore, binding energies toll-like receptor 2 (TLR2) -1224.7 kcal/mol. immunoinformatics real-world experiments showed could induce an innate adaptive response characterized significantly higher levels cytokines such as interferon-gamma (IFN-γ), tumor necrosis factor-α (TNF-α), interleukin-4 (IL-4), IL-10. Conclusion is potential candidate TB, this study preliminarily evaluated ability generate response, providing precursor target for developing vaccines.

Language: Английский

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PP19128R, a Multiepitope Vaccine Designed to Prevent Latent Tuberculosis Infection, Induced Immune Responses In Silico and In Vitro Assays

Vaccines, Journal Year: 2023, Volume and Issue: 11(4), P. 856 - 856

Published: April 17, 2023

Background: Latent tuberculosis infection (LTBI) is the primary source of active (ATB), but a preventive vaccine against LTBI lacking. Methods: In this study, dominant helper T lymphocyte (HTL), cytotoxic (CTL), and B-cell epitopes were identified from nine antigens related to regions difference (RDs). These used construct novel multiepitope (MEV) based on their antigenicity, immunogenicity, sensitization, toxicity. The immunological characteristics MEV analyzed with immunoinformatics technology verified by enzyme-linked immunospot assay Th1/Th2/Th17 cytokine in vitro. Results: A MEV, designated PP19128R, containing 19 HTL epitopes, 12 CTL 8 toll-like receptor (TLR) agonists, peptides, was successfully constructed. Bioinformatics analysis showed that solubility PP19128R 0.8067, 9.29811, 0.900675, respectively. global population coverage HLA class I II alleles reached 82.24% 93.71%, binding energies PP19128R-TLR2 PP19128R-TLR4 complexes −1324.77 kcal/mol −1278 kcal/mol, vitro experiments significantly increased number interferon gamma-positive (IFN-γ+) lymphocytes levels cytokines, such as IFN-γ, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), IL-10. Furthermore, positive correlations observed between PP19128R-specific cytokines ATB patients individuals LTBI. Conclusions: promising excellent antigenicity immunogenicity no toxicity or sensitization can induce robust immune responses silico This study provides candidate for prevention future.

Language: Английский

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Artificial intelligence in Immuno-genetics

Bioinformation, Journal Year: 2024, Volume and Issue: 20(1), P. 29 - 35

Published: Jan. 31, 2024

Rapid advancements in the field of artificial intelligence (AI) have opened up unprecedented opportunities to revolutionize various scientific domains, including immunology and genetics. Therefore, it is interest explore emerging applications AI genetics, with objective enhancing our understanding dynamic intricacies immune system, disease etiology, genetic variations. Hence, use methodologies immunological datasets, thereby facilitating development innovative approaches realms diagnosis, treatment, personalized medicine reviewed.

Language: Английский

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Lipid vesicle-based molecular robots

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(5), P. 996 - 1029

Published: Jan. 1, 2024

A molecular robot, which is a system comprised of one or more machines and computers, can execute sophisticated tasks in many fields that span from nanomedicine to green nanotechnology. The core parts robots are fairly consistent always include (i) body encapsulate machines, (ii) sensors capture signals, (iii) computers make decisions, (iv) actuators perform tasks. This review aims provide an overview approaches considerations develop robots. We first introduce the basic technologies required for constructing robots, describe recent progress towards achieving higher functionality, subsequently discuss current challenges outlook. also highlight applications sensing biomarkers, signal communications with living cells, conversion energy. Although still their infancy, they will unquestionably initiate massive change biomedical environmental technology not too distant future.

Language: Английский

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Assessing the performance of MM/PBSA and MM/GBSA methods. 10. Prediction reliability of binding affinities and binding poses for RNA–ligand complexes

Physical Chemistry Chemical Physics, Journal Year: 2024, Volume and Issue: 26(13), P. 10323 - 10335

Published: Jan. 1, 2024

The first study to evaluate the capability of MM/PBSA and MM/GBSA predict binding affinities recognize near-native poses for RNA-ligand systems.

Language: Английский

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Conformational Stability and Denaturation Processes of Proteins Investigated by Electrophoresis under Extreme Conditions

Molecules, Journal Year: 2022, Volume and Issue: 27(20), P. 6861 - 6861

Published: Oct. 13, 2022

The functional structure of proteins results from marginally stable folded conformations. Reversible unfolding, irreversible denaturation, and deterioration can be caused by chemical physical agents due to changes in the physicochemical conditions pH, ionic strength, temperature, pressure, electric field or presence a cosolvent that perturbs delicate balance between stabilizing destabilizing interactions eventually induces modifications. For most proteins, denaturation is complex process involving transient intermediates several reversible steps. Knowledge protein stability processes mandatory for development enzymes as industrial catalysts, biopharmaceuticals, analytical medical bioreagents, safe food. Electrophoresis techniques operating under extreme are convenient tools analyzing unfolding transitions, trapping intermediates, gaining insight into mechanisms processes. Moreover, quantitative analysis electrophoretic mobility transition curves allows estimation conformational proteins. These approaches include polyacrylamide gel electrophoresis capillary zone cold, heat, hydrostatic pressure non-ionic denaturing stabilizers such polyols heavy water. Lastly, after exposure extremes conditions, standard provides information on processes, slow drifts, renaturation impressive developments enzyme technology with multiple applications fine chemistry, biopharmaceutics, nanomedicine prompted us revisit potentialities these approaches. This feature review illustrated published unpublished obtained authors cholinesterases paraoxonase, two physiologically toxicologically important enzymes.

Language: Английский

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