Ida Alanko

Mrs. Ida Alanko

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 December 2020 in Processes
Verified
Journal Article
Open access
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Outi Salo-AhenOuti Salo-Ahen
Outi Salo-Ahen
IAIda Alanko
Ida Alanko
Rajendra BhadaneRajendra Bhadane
Rajendra Bhadane
ABAlexandre M.J.J. Bonvin
Alexandre M.J.J. Bonvin
RHRodrigo Vargas Honorato
Rodrigo Vargas Honorato
MVMichiel Vanmeert
Michiel Vanmeert
Molecular dynamics (MD) simulations have become increasingly useful in the modern drug development process. In this review, we give a broad overview of the current application possibilities of MD in drug discovery and pharmaceutical development. Starting from the target validation step of the drug development process, we give several examples of how MD studies can give important insights into the dynamics and function of identified drug targets such as sirtuins, RAS proteins, or intrinsically disordered proteins. The role of MD in antibody design is also reviewed. In the lead discovery and lead optimization phases, MD facilitates the evaluation of the binding energetics and kinetics of the ligand-receptor interactions, therefore guiding the choice of the best candidate molecules for further development. The importance of considering the biological lipid bilayer environment in the MD simulations of membrane proteins is also discussed, using G-protein coupled receptors and ion channels as well as the drug-metabolizing cytochrome P450 enzymes as relevant examples. Lastly, we discuss the emerging role of MD simulations in facilitating the pharmaceutical formulation development of drugs and candidate drugs. Specifically, we look at how MD can be used in studying the crystalline and amorphous solids, the stability of amorphous drug or drug-polymer formulations, and drug solubility. Moreover, since nanoparticle drug formulations are of great interest in the field of drug delivery research, different applications of nano-particle simulations are also briefly summarized using multiple recent studies as examples. In the future, the role of MD simulations in facilitating the drug development process is likely to grow substantially with the increasing computer power and advancements in the development of force fields and enhanced MD methodologies.

16 July 2023 in Microbiologyopen
Verified
Journal Article
Open access
IAIda Alanko
Ida Alanko
RSRebecca Sandberg
Rebecca Sandberg
EBEeva‐Christine Brockmann
Eeva‐Christine Brockmann
CHCarla J. C. de Haas
Carla J. C. de Haas
JSJos A. G. van Strijp
Jos A. G. van Strijp
OSOuti M. H. Salo‐Ahen
Outi M. H. Salo‐Ahen
Staphylococcus aureus produces numerous virulence factors that manipulate the immune system, helping the bacteria avoid phagocytosis. In this study, we are investigating three immune evasion molecules called the staphylococcal superantigen‐like proteins 1, 5, and 10 (SSL1, SSL5, and SSL10). All three SSLs inhibit vital host immune processes and contribute to S. aureus immune evasion. This study aimed to identify single‐chain variable fragment (scFvs) antibodies from synthetic antibody phage libraries, which can recognize either of the three SSLs and could block the interaction between the SSLs and their respective human targets. The antibodies were isolated after three rounds of panning against SSL1, SSL5, and SSL10, and their ability to bind to the SSLs was studied using a time‐resolved fluorescence‐based immunoassay. We successfully obtained altogether 44 unique clones displaying binding activity to either SSL1, SSL5, or SSL10. The capability of the SSL‐recognizing scFvs to inhibit the SSLs' function was tested in an MMP9 enzymatic activity assay, a P‐selectin glycoprotein ligand 1 competitive binding assay, and an IgG1‐mediated phagocytosis assay. We could show that one scFv was able to inhibit SSL1 and maintain MMP9 activity in a concentration‐dependent manner. Finally, the structure of this inhibiting scFv was modeled and used to create putative scFv‐SSL1‐complex models by protein–protein docking. The complex models were subjected to a 100‐ns molecular dynamics simulation to assess the possible binding mode of the antibody.