Results 151 to 160 of about 80,951 (303)

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Environmental Identification of Novel Enzymes for Polyurethane and Polyamide Degradation

Angewandte Chemie, EarlyView.
Heteroatom‐containing plastics such as polyurethanes and nylons are produced at scale yet remain largely unrecycled. Biocatalysts offer a promising route to depolymerization under mild conditions. Here, we present a screening platform for the discovery of novel polyurethane‐ and nylon‐degrading enzymes from environmental samples and demonstrate ...
Malthe Kjær Bendtsen, Andreas Møllebjerg, Samuel Peña‐Díaz, Rosie Graham, Nicolai Claus Petersen, Bjørk Nolsøe Isaksen, Mathias Carstensen, Martin B. Johansen, Andreas Sommerfeldt, Allan R. Petersen, Iddi Khamisi Chuma, Cecilie Ryberg, Thomas Rea Wittenborn, Virginia Gichuru, Huabing Wang, Carsten Scavenius, Alexander Sandahl, Daniel E. Otzen   +17 more
wiley   +2 more sources

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Mining the mouse genome [PDF]

Nature, 2002
openaire   +3 more sources

Underlying Mathematics in Diversification of Human Olfactory Receptors in Different Loci [PDF]

, 2010
As per conservative estimate, approximately (51-105) Olfactory Receptors (ORs) loci are present in human genome occurring in clusters. These clusters are apparently unevenly spread as mosaics over 21 pair of human chromosomes.
Sk. Sarif Hassan, Arunava Goswami, Pabitra Pal Choudhury   +2 more
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Genome Sequencing and Characterization of Bacillus velezensis N23 as Biocontrol Agent against Plant Pathogens

Microorganisms
The overuse of chemical fungicides against fungal pathogens adversely affects soil and plant health, resulting in environmental problems and food safety.
Panlei Yang, Qingchao Zeng, Wenxiao Jiang, Luotao Wang, Jie Zhang, Zhenshuo Wang, Qi Wang, Yan Li   +7 more
doaj   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source