The successful candidate will develop computational approaches to discover, model, and develop therapeutic strategies. Examples of potential approaches include:
-Network Modeling: Creating computational models to map and analyze interactions within biological networks, thereby identifying key pathways and targets for therapeutic intervention.
-Simulations and Virtual Drug Screenings: Aiding in drug design by modeling and assessing modifications of biological pathways by targeted interventions.
-In-silico Identification of Molecular Targets: Developing novel computational techniques to identify molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations.
-Computational Drug Repurposing: Developing novel algorithms and databases to identify existing drugs that may be repurposed for rare disease treatments, accelerating the development process by leveraging known drug safety profiles.
-Structural Biology: Implementing computational structural biology methods, such as molecular modeling and simulations, to understand the 3D structures of proteins and their interactions with potential drugs.
-High-throughput In-silico Drug Screening: Conducting extensive in-silico screenings using virtual libraries of compounds to efficiently predict interactions with target proteins and select promising therapeutic candidates.
-Treatment Eligibility: Implementing computational methods and pharmacogenomics strategies to determine which patients with rare diseases are likely to benefit from specific therapies, ensuring personalized and effective treatment.
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