With the development of high-throughput biology techniques and artificial intelligence, it has
become increasingly feasible to design and construct artificial biological parts, modules …

The evolving field of generative artificial intelligence (GenAI), particularly generative deep
learning, is revolutionizing a host of scientific and technological sectors. One of the pivotal …

In the short few months since the release of ChatGPT 1, 2, the potential for large language
models (LLMs) and generative artificial intelligence (AI) to disrupt fields as diverse as art …

Designing biological sequences is an important challenge that requires satisfying complex
constraints and thus is a natural problem to address with deep generative modeling …

Transcriptional enhancers act as docking stations for combinations of transcription factors
and thereby regulate spatiotemporal activation of their target genes. It has been a long …

Designing promoters with desirable properties is essential in synthetic biology. Human
experts are skilled at identifying strong explicit patterns in small samples, while deep …

Abstract mRNA technology has emerged as a successful vaccine platform that offered a swift
response to the COVID-19 pandemic. Accumulating evidence shows that vaccine efficacy …

Research on the removal of heavy metals (HMs) from contaminated waters, aiming at
ensuring the safety of water bodies, has shifted from direct experimental tests to machine …

Following the widespread use of deep learning for genomics, deep generative modeling is
also becoming a viable methodology for the broad field. Deep generative models (DGMs) …

Cis-regulatory elements (CREs) control gene expression, orchestrating tissue identity,
developmental timing, and stimulus responses, which collectively define the thousands of …