Anandi Chowdhury is a researcher at the Centre of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, India. With over seven years of experience in biopharmaceutical research, she specializes in protein aggregation, biologic stability, and the development of high-throughput drug screening models. Her doctoral research combines analytical techniques, advanced microscopy, molecular biology, and AI/ML to study the stability of amyloids, monoclonal antibodies, and mRNA vaccines, and to design in-vitro and in-vivo models for neurodegenerative diseases and cancers. She has developed a Parkinson’s disease model to investigate neuronal interactions with alpha-synuclein aggregates and designed peptide-based inhibitors, guided by molecular dynamics simulations, that successfully inhibited pathological protein transmission and rescued neuronal health. A former (Deutscher Akademischer Austauschdienst) DAAD scholar under Nobel laureate Prof. Emmanuelle Charpentier at the Max Planck Institute, Berlin, and featured by UNESCO in A Braided River: The Universe of Indian Women in Science for her work in targeted cancer drug delivery, she is passionate about advancing effective, accessible, and sustainable biologic therapies. Beyond academia, Anandi founded ScientistYou, an initiative promoting mental health within the scientific community, and has held leadership roles such as Vice President of the American Chemical Society International Student Chapter, India.
Fibrils of α-synuclein, an intrinsically disordered protein (IDP), are major pathogenic agents in several neurodegenerative diseases, including Parkinson’s disease. The propagation of these α-synuclein fibrils between neuronal and glial cells exhibits prion-like behaviour, rendering them highly cytotoxic as they induce progressive neuronal loss, a hallmark of Parkinson’s disease. These fibrils form through the aggregation of α-synuclein oligomers into insoluble higher-order fibrillar structures, stabilizing fibril growth and conferring toxicity. We employed a structural bioinformatics approach to determine fragment complexes with a stable β-sheet geometry and to generate dimer structural ensembles using its energy landscape. Using this method, we designed various novel peptides that effectively reduce α-synuclein aggregation synucleinopathies. The binding of these peptides block the entry of α-synuclein fibrils into neural cells, thereby preventing their cytotoxic effects and mitigating the spread of neurodegenerative pathology. Our detailed bioanalytical investigation demonstrated that these designed peptide inhibitors significantly reduce the cellular internalization of toxic α-synuclein species, thereby limiting the spread of fibrils in the neural microenvironment. In an in-vitro model of the disease, we introduced these peptides and observed a significant reduction in prion-like cellular uptake and processing of α-synuclein preformed fibrils, resulting in enhanced survival of neural cells. This advancement not only provides a novel therapeutic approach for Parkinson’s disease but also sets a precedent for targeting protein aggregation in other neurodegenerative conditions.