Skip to main content

Research Repository

Advanced Search

All Outputs (12)

Optimizing Excipient Properties to Prevent Aggregation in Biopharmaceutical Formulations (2023)
Journal Article
King, T. E., Humphrey, J. R., Laughton, C. A., Thomas, N. R., & Hirst, J. D. (2024). Optimizing Excipient Properties to Prevent Aggregation in Biopharmaceutical Formulations. Journal of Chemical Information and Modeling, 64(1), 265–275. https://doi.org/10.1021/acs.jcim.3c01898

Excipients are included within protein biotherapeutic solution formulations to improve colloidal and conformational stability but are generally not designed for the specific purpose of preventing aggregation and improving cryoprotection in solution.... Read More about Optimizing Excipient Properties to Prevent Aggregation in Biopharmaceutical Formulations.

Electrocatalytic CO2 reduction to C2H4: From lab to fab (2023)
Journal Article
Guo, Z., Yang, F., Li, X., Zhu, H., Do, H., Loon Fow, K., …Xu, M. (2024). Electrocatalytic CO2 reduction to C2H4: From lab to fab. Journal of Energy Chemistry, 90, 540-564. https://doi.org/10.1016/j.jechem.2023.11.019

The global concerns of energy crisis and climate change, primarily caused by carbon dioxide (CO2), are of utmost importance. Recently, the electrocatalytic CO2 reduction reaction (CO2RR) to high value-added multi-carbon (C2+) products driven by renew... Read More about Electrocatalytic CO2 reduction to C2H4: From lab to fab.

Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets (2023)
Journal Article
Douaki, A., Stuber, A., Hengsteler, J., Momotenko, D., Rogers, D. M., Rocchia, W., …Garoli, D. (2023). Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets. Chemical Communications, 59(99), 14713-14716. https://doi.org/10.1039/d3cc04334g

Aptamer-based sensing of small molecules such as dopamine and serotonin in the brain, requires characterization of the specific aptamer sequences in solutions mimicking the in vivo environment with physiological ionic concentrations. In particular, d... Read More about Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets.

Synergistic engineering of heteronuclear Ni-Ag dual-atom catalysts for high-efficiency CO2 electroreduction with nearly 100% CO selectivity (2023)
Journal Article
Guo, Z., Zhu, H., Yang, G., Wu, A., Chen, Q., Yan, Z., …Xu, M. (2023). Synergistic engineering of heteronuclear Ni-Ag dual-atom catalysts for high-efficiency CO2 electroreduction with nearly 100% CO selectivity. Chemical Engineering Journal, 476, Article 146556. https://doi.org/10.1016/j.cej.2023.146556

Single-atom catalysts (SACs) have emerged as attractive materials for the electrocatalytic carbon dioxide reduction (ECO2R). Dual-atom catalysts (DACs), an extension of SACs, exhibit more compelling functionalities due to the synergistic effects betw... Read More about Synergistic engineering of heteronuclear Ni-Ag dual-atom catalysts for high-efficiency CO2 electroreduction with nearly 100% CO selectivity.

ML meets MLn: machine learning in ligand promoted homogeneous catalysis (2023)
Journal Article
Hirst, J. D., Boobier, S., Coughlan, J., Streets, J., Jacob, P. L., Pugh, O., …Woodward, S. (2023). ML meets MLn: machine learning in ligand promoted homogeneous catalysis. Artificial Intelligence Chemistry, 1(2), Article 100006. https://doi.org/10.1016/j.aichem.2023.100006

The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised. We focus on the understanding and implementation of key concepts, which serve as condu... Read More about ML meets MLn: machine learning in ligand promoted homogeneous catalysis.

Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics (2023)
Journal Article
Chio, H., Guest, E. E., Hobman, J. L., Dottorini, T., Hirst, J. D., & Stekel, D. J. (2023). Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics. Journal of Molecular Graphics and Modelling, 123, Article 108508. https://doi.org/10.1016/j.jmgm.2023.108508

Antibiotics enter the environment through waste streams, where they can exert selective pressure for antimicrobial resistance in bacteria. However, many antibiotics are excreted as partly metabolized forms, or can be subject to partial breakdown in w... Read More about Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics.

AI4Green: An Open-Source ELN for Green and Sustainable Chemistry (2023)
Journal Article
Boobier, S., Davies, J. C., Derbenev, I. N., Handley, C. M., & Hirst, J. D. (2023). AI4Green: An Open-Source ELN for Green and Sustainable Chemistry. Journal of Chemical Information and Modeling, 63(10), 2895–2901. https://doi.org/10.1021/acs.jcim.3c00306

An Electronic Laboratory Notebook (ELN) combining features, including data archival, collaboration tools, and green and sustainability metrics for organic chemistry, is presented. AI4Green is a web-based application, available as open-source code and... Read More about AI4Green: An Open-Source ELN for Green and Sustainable Chemistry.

Dynamic Disorder Drives Exciton Dynamics in Diketopyrrolopyrrole-Thiophene-Containing Molecular Crystals (2023)
Journal Article
Jiang, L., Hirst, J. D., & Do, H. (2023). Dynamic Disorder Drives Exciton Dynamics in Diketopyrrolopyrrole-Thiophene-Containing Molecular Crystals. Journal of Physical Chemistry C, 127(11), 5519-5532. https://doi.org/10.1021/acs.jpcc.2c07984

There is a growing interest in controllable molecular materials for potential nanophotonic and quantum information applications where excitons move beyond the incoherent transport regime. Thus, the ability to identify the key parameters that correlat... Read More about Dynamic Disorder Drives Exciton Dynamics in Diketopyrrolopyrrole-Thiophene-Containing Molecular Crystals.

Krein support vector machine classification of antimicrobial peptides (2023)
Journal Article
Redshaw, J., Ting, D. S., Brown, A., Hirst, J. D., & Gärtner, T. (2023). Krein support vector machine classification of antimicrobial peptides. Digital Discovery, 2(2), 502-511. https://doi.org/10.1039/d3dd00004d

Antimicrobial peptides (AMPs) represent a potential solution to the growing problem of antimicrobial resistance, yet their identification through wet-lab experiments is a costly and time-consuming process. Accurate computational predictions would all... Read More about Krein support vector machine classification of antimicrobial peptides.

Cysteine-Selective Modification of Peptides and Proteins via Desulfurative C−C Bond Formation (2023)
Journal Article
Griffiths, R. C., Smith, F. R., Li, D., Wyatt, J., Rogers, D. M., Long, J. E., …Mitchell, N. (2023). Cysteine-Selective Modification of Peptides and Proteins via Desulfurative C−C Bond Formation. Chemistry - A European Journal, 29(16), Article e202202503. https://doi.org/10.1002/chem.202202503

The site-selective modification of peptides and proteins facilitates the preparation of targeted therapeutic agents and tools to interrogate biochemical pathways. Among the numerous bioconjugation techniques developed to install groups of interest, t... Read More about Cysteine-Selective Modification of Peptides and Proteins via Desulfurative C−C Bond Formation.

AI4Green: An Open-Source ELN for Green and Sustainable Chemistry (2023)
Working Paper
Boobier, S., Davies, J., Derbenev, I., Handley, C., & Hirst, J. AI4Green: An Open-Source ELN for Green and Sustainable Chemistry

An Electronic Laboratory Notebook (ELN) combining features, including data archival, collaboration tools, and green and sustainability metrics for organic chemistry, is presented. AI4Green is a web-based application, available as open-source code and... Read More about AI4Green: An Open-Source ELN for Green and Sustainable Chemistry.