Category
2,623 papers
AgentFold is presented, a multi-agent framework that formulates folding-model development as a closed-loop search over executable code variants and improves the best lDDT by 7.5% over independent Codex proposals and outperforms a random-search control.
Combining interpretable relapse prediction with reinforcement learning offers a personalized decision-support framework for optimizing herbal treatment intensity during UC remission maintenance.
This survey reviews the basic principles of LLMs and summarizes representative applications in gene and genome sequence analysis, protein structure and function prediction, and drug design, including virtual screening and personalized medicine.
This study demonstrates the successful production and injection of human induced pluripotent stem cell cardiomyocyte aggregates into infarcted cynomolgus monkey hearts, resulting in substantial, structured human grafts three months after cell transplantation, and uncoupling of cardiomyocyte production from transplantat...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Beyond classical inflammation, these integrated findings reveal coordinated network-level perturbations consistent with ferroptosis vulnerability, genome instability, paradoxical immune dysregulation, and potential macrophage identity loss consistent with ferroptosis vulnerability, genome instability, paradoxical immun...
A genome engineering technology is used to change a single amino acid in the viruses’ main protease enzyme to match that of circulating Omicron isolates to demonstrate antiviral efficacy of approved drugs and uncover mutants with reduced drug sensitivity.
It is found that this test to judge whether a computer program predicts whether a genetic variant causes disease is easier to pass than it looks, and about half the advantage held by programs trained on clinical data disappears once the gene pattern is removed.
Findings highlight compound D as a promising lead candidate for short-bath therapy against N. melleni and suggest that cytoskeletal disruption through β-tubulin interaction represents a plausible mechanism of action.
A generalized essential dynamics-refined ENM (edENM) is introduced for both DNA, RNA, and protein-nucleic acid complexes, parametrized against a diverse set of molecular dynamics simulations and validated using experimental ensembles from nuclear magnetic resonance, X-ray crystallography, and cryogenic electron microsc...
This research introduces a novel strategy to augment casein expression in ruminants, providing a significant theoretical foundation and technical support for the precision breeding of high-casein dairy cows and goats.
Quercetin exerts anti-fibrotic effects on vocal folds by multi-target inhibition of PI3K/AKT and MAPK signaling pathways, thereby modulating fibroblast behavior, preserving extracellular matrix integrity, and restoring key matrix components such as hyaluronic acid and elastic fibers.
Data indicate the KP.2 mRNA vaccine generates durable, cross-reactive responses against current Omicron subvariants, however, ongoing spike evolution impacts the neutralization of emerging lineages, highlighting the need for continued viral monitoring and timely vaccine updates.
Proof of concept for watermarking AI-generated proteins while preserving biological function.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
AlphaFold has revealed the structure of a key protein behind heart disease
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
