Results 121 to 130 of about 105,282 (228)

A Cell‐Free Platform Based on Nisin Biosynthesis for Discovering Novel Lanthipeptides and Guiding their Overproduction In Vivo

Advanced Science, 2020
Lanthipeptides have extensive therapeutic and industrial applications. However, because many are bactericidal, traditional in vivo platforms are limited in their capacity to discover and mass produce novel lanthipeptides as bacterial organisms are often ...
Ran Liu, Yuchen Zhang, Guoqing Zhai, Shuai Fu, Yao Xia, Ben Hu, Xuan Cai, Yan Zhang, Yan Li, Zixin Deng, Tiangang Liu   +10 more
doaj   +1 more source

Data Mining for Simple Sequence Repeats in Oil Palm Expressed Sequence Tags [PDF]

, 2009
Expressed Sequence Tags or ESTs are small pieces of DNA sequence that are generated by sequencing either one or both ends of an expressed gene. ESTs provide researchers with a quick and inexpensive route for discovering new genes, for obtaining data on ...
Aikkal Riju, Vadivel Arunachalam
core   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Genome Mining for Diazo-Synthesis-Related Genes in Streptomyces sp. CS057 Unveiled the Cryptic Biosynthetic Gene Cluster crx for the Novel 3,4-AHBA-Derived Compound Crexazone 2

Biomolecules
Natural products play a crucial role in drug development, addressing the escalating microbial resistance to antibiotics and the treatment of emerging diseases. Progress in genome sequencing techniques, coupled with the development of bioinformatics tools
Laura Prado-Alonso, Suhui Ye, Ignacio Pérez-Victoria, Ignacio Montero, Pedro Riesco, Francisco Javier Ortiz-López, Jesús Martín, Carlos Olano, Fernando Reyes, Carmen Méndez   +9 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

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

Editorial: The discovery of bioactive natural products: the isolation and structural elucidation, genome mining, OSMAC strategy, and biotransformation

Frontiers in Microbiology, 2023
Dewu Zhang, Kalindi Morgan, Ling Liu
doaj   +1 more source

MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects. [PDF]

, 2018
MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments (\u27tRFs\u27) found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets.
Kirino, Yohei, Loher, Phillipe, Londin, Eric R., Magee, Rogan, Pliatsika, Venetia, Rigoutsos, Isidore, Shigematsu, Megumi, Telonis, Aristeidis G.   +7 more
core   +1 more source