Silicon is the gold standard for information storage systems. The exponential generation of
digital information will exhaust the global supply of refined silicon. Therefore, investing in …

Protein–protein interactions (PPIs) are a major component of the cellular biochemical
reaction network. Rich sequence information and machine learning techniques reduce the …

Over the past decade, the rapid development of DNA synthesis and sequencing
technologies has enabled preliminary use of DNA molecules for digital data storage …

Using complex biomolecules for storage is a new carbon-based storage method. For
example, DNA has the potential to be a good method for archival long-term data storage …

DNA data storage is a promising technology that utilizes computer simulation, and synthetic
biology, offering high-density and reliable digital information storage. It is challenging to …

DNA Encoding, as a key step in DNA storage, plays an important role in reading and writing
accuracy and the storage error rate. However, currently, the encoding efficiency is not high …

Recent years have seen tremendous success in the design of novel drug molecules through
deep generative models. Nevertheless, existing methods only generate drug-like molecules …

This in vitro study aimed to put forward the development and investigation of a novel Mixed
Reality (MR)-based dental implant navigation method and evaluate implant accuracy. Data …

DNA is a practical storage medium with high density, durability, and capacity to
accommodate exponentially growing data volumes. A DNA sequence structure is a …

Deep learning is improving and changing the process of de novo molecular design at a
rapid pace. In recent years, great progress has been made in drug discovery and …