Computational Design of Peptide Assemblies DOI

Jiwei Min,

Xi Rong, Jiaxing Zhang

et al.

Journal of Chemical Theory and Computation, Journal Year: 2024, Volume and Issue: 20(2), P. 532 - 550

Published: Jan. 11, 2024

With the ongoing development of peptide self-assembling materials, there is growing interest in exploring novel functional sequences. From short peptides to long polypeptides, as functionality increases, sequence space also expanding exponentially. Consequently, attempting explore all sequences comprehensively through experience and experiments alone has become impractical. By utilizing computational methods, especially artificial intelligence enhanced molecular dynamics (MD) simulation de novo design, been a significant expansion exploration space. Through these variety supramolecular including fibers, two-dimensional arrays, nanocages, etc., have designed by meticulously controlling inter- intramolecular interactions. In this review, we first provide brief overview current main methods then focus on design for various self-assembled materials. Additionally, introduce some representative protein self-assemblies offer guidance peptides.

Language: Английский

How can we discover developable antibody-based biotherapeutics? DOI Creative Commons
Joschka Bauer, Nandhini Rajagopal, Priyanka Gupta

et al.

Frontiers in Molecular Biosciences, Journal Year: 2023, Volume and Issue: 10

Published: Aug. 7, 2023

Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals despite significant challenges and risks to their discovery development. This review discusses the most frequently encountered hurdles in research development (R&D) antibody-based proposes conceptual framework called biopharmaceutical informatics. Our vision advocates for syncretic use computation experimentation at every stage biologic drug discovery, considering developability (manufacturability, safety, efficacy, pharmacology) potential candidates from earliest stages phase. The computational advances recent years allow more precise formulation disease concepts, rapid identification, validation targets suitable therapeutic intervention that can agonize or antagonize them. Furthermore, methods

Language: Английский

Citations

16

Assessing the effect of Maillard reaction products on the functionality and antioxidant properties of Amaranth-red seaweed blends DOI Creative Commons
Rishi Ravindra Naik, Qianyu Ye, Yong Wang

et al.

Food Research International, Journal Year: 2023, Volume and Issue: 175, P. 113759 - 113759

Published: Nov. 25, 2023

Plant-based proteins, represented by amaranth in our study, embrace a potential as an ingredient for the functional-food formulation. However, their efficacy is hindered inherent limitations solubility, emulsification, and antioxidant traits. The Maillard reaction, complex chemical-process resulting diverse array of products, including conjugates reaction products (MRPs), can employ variable effects on these specific attributes. To elucidate influence this MRPs aforementioned properties, we used blend dehydrated seaweed Gracilaria protein to create conjugate-MRP blend. Our investigations revealed that resultant incorporation enhanced while intermediates formed did not progress advanced glycation stages. This change likely attributed dual effect altered secondary structure, generation and/or preservation post ultrasonication spray drying its potential.

Language: Английский

Citations

15

Combination of Enzymes with Materials to Give Them Antimicrobial Features: Modern Trends and Perspectives DOI Creative Commons
Елена Ефременко, Nikolay Stepanov, Aysel Aslanli

et al.

Journal of Functional Biomaterials, Journal Year: 2023, Volume and Issue: 14(2), P. 64 - 64

Published: Jan. 25, 2023

Multidrug-resistant bacteria form serious problems in many areas, including medicine and the food industry. At same time, great interest is shown transfer or enhancement of antimicrobial properties to various materials by modifying them with enzymes. The use enzymes biomaterials important because can be used as main active components providing functionalized composite biomaterials, serve enhancers action certain substances (antibiotics, peptides, metal nanoparticles, etc.) against cells microorganisms. Enzymes simultaneously widen spectrum activity biomaterials. This review presents most promising recently for production antibacterial materials, namely hydrolases oxidoreductases. Computer modeling plays an role finding effective combinations between compounds, revealing their possible interactions. range that using looks diverse. physicochemical characteristics functionalization methods have a significant impact on In this context, fibrous are particular interest. purpose analyze current state art area.

Language: Английский

Citations

13

Like-Charge PISA: Polymerization-Induced Like-Charge Electrostatic Self-Assembly DOI

Caihui Luo,

Xiyu Wang, Yuanyuan Liu

et al.

ACS Macro Letters, Journal Year: 2023, Volume and Issue: 12(8), P. 1045 - 1051

Published: July 13, 2023

We report the use of l-aspartic acid chiral ionic hydrogen bonds to drive liquid-liquid phase separation (LLPS) and precision two-dimensional electrostatic self-assembly in photo-RAFT aqueous polymerization-induced (photo-PISA). Homopolymerization can yield salt-resistant, 3 nm ultrafine fibril-structured 5 ultrathin lamellae via LLPS, a left-to-right-handed chirality transition, droplets-to-lamellae transition. Like-charge block copolymerization leads supercharged yet identical lamellae, also, left-to-right transition Ultrafine structures maintain intactness upon seeded polymerization oppositely charged monomer. This work demonstrates that amino are powerful for synthesis salt-resistant membrane nanomaterials.

Language: Английский

Citations

13

Computational Design of Peptide Assemblies DOI

Jiwei Min,

Xi Rong, Jiaxing Zhang

et al.

Journal of Chemical Theory and Computation, Journal Year: 2024, Volume and Issue: 20(2), P. 532 - 550

Published: Jan. 11, 2024

With the ongoing development of peptide self-assembling materials, there is growing interest in exploring novel functional sequences. From short peptides to long polypeptides, as functionality increases, sequence space also expanding exponentially. Consequently, attempting explore all sequences comprehensively through experience and experiments alone has become impractical. By utilizing computational methods, especially artificial intelligence enhanced molecular dynamics (MD) simulation de novo design, been a significant expansion exploration space. Through these variety supramolecular including fibers, two-dimensional arrays, nanocages, etc., have designed by meticulously controlling inter- intramolecular interactions. In this review, we first provide brief overview current main methods then focus on design for various self-assembled materials. Additionally, introduce some representative protein self-assemblies offer guidance peptides.

Language: Английский

Citations

5