Quantum computing algorithms: getting closer to critical problems in computational biology.

ABSTRACT: The recent biotechnological progress has allowed life scientists and physicians to access an unprecedented, massive amount of data at all levels (molecular, supramolecular, cellular and so on) of biological complexity. So far, mostly classical computational efforts have been dedicated to the simulation, prediction or de novo design of biomolecules, in order to improve the understanding of their function or to develop novel therapeutics. At a higher level of complexity, the progress of omics disciplines (genomics, transcriptomics, proteomics and metabolomics) has prompted researchers to develop informatics means to describe and annotate new biomolecules identified with a resolution down to the single cell, but also with a high-throughput speed. Machine learning approaches have been implemen

SUBMITTER: Marchetti L 

PROVIDER: S-EPMC9677474 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature