Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …

Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Gene editing stands for the methods to precisely make changes to a specific nucleic acid
sequence. With the recent development of the clustered regularly interspaced short …

The accurate and timely diagnosis of disease is a prerequisite for efficient therapeutic
intervention and epidemiological surveillance. Diagnostics based on the detection of nucleic …

Concerns over climate change have necessitated a rethinking of our transportation
infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced …

Recent advances and accomplishments of artificial intelligence (AI) and deep generative
models have established their usefulness in medicinal applications, especially in drug …

Gene editing that makes target gene modification in the genome by deletion or addition has
revolutionized the era of biomedicine. Clustered regularly interspaced short palindromic …

The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated
protein 9 (Cas9) system has become a successful and promising technology for gene …

Highly specific Cas9 nucleases derived from SpCas9 are valuable tools for genome editing,
but their wide applications are hampered by a lack of knowledge governing guide RNA …

Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …