The application of spatially resolved omics technology is revolutionizing our comprehension of biological tissues. Large data quantities, variety in data types, and a lack...
Molecular biology scientists have been captivated by the complex way RNA folds. A recent study by Beihang and Nanjing University researchers in China introduces...
Microscopy has revolutionized our understanding of the world, allowing us to peer into the intricate details of cells, tissues, and even viruses. However, obtaining...
Despite the difficulties presented by the current methods depending solely on gene expression data, RNA sequencing data has been incorporated into Gene regulatory networks...
When compared to other mental conditions, posttraumatic stress disorder (PTSD) has a lower discoverability rate. A meta-analysis encompassing many ancestries, including European, African, and...
Think about peering into the intricate world of biomolecules, those complex assemblies that direct the symphony of life. Scientists have long relied on molecular...
Single-cell transcriptomics has been generating large-scale information, improving our knowledge of cellular processes across different tissues, and facilitating medication discovery, diagnosis, and prognosis. But...
Conventional representational models of protein functions have demonstrated notable performance in downstream tasks; nevertheless, they frequently do not incorporate explicit information on protein structure,...
Are you aware of the perception of a genomic language model? If not, then it's worth mentioning that researchers at Harvard, Cornell University, and...
Imagine a teeming city where proteins are the movers and shakers. Each protein intertwines with others in partnerships that are vital to every cellular...
The effective paradigm of molecular linkers in drug discovery is crucial for obtaining relevant candidate molecules in early-stage drug development. In this study, researchers...
Understanding molecular mechanisms requires an understanding of protein interactions with nucleic acids. Researchers can query preprocessed and clustered structural data, analyze the data, and...
Researchers from the Institute of Bioengineering, Lausanne, Switzerland, introduce GEMLI, a powerful computational tool that enables robust identification of cell lineages solely from scRNA-seq...
In computational drug discovery, active learning (AL) is a potent approach that makes it possible to identify the best binders from large chemical libraries....
A new tool from UC Berkeley can predict mutations that can improve the way how RNA works. By leveraging hyperthermophilic RNAs, the researchers identified...
The significance of comprehending gene expression regulation in tissue development is highlighted by the examination of disease progression through methods such as ChIP-seq and...
Picture a world where computers can not only translate languages but also decipher biology’s convoluted language. This is the exciting frontier of Large Language...
Predicting protein-protein interactions (PPIs) is essential to comprehend biological processes and illnesses. Conventional machine learning techniques ignore nonphysical linkages made through intermediary proteins in...
The increasing relevance of protein design across a range of scientific fields drives the creation of integrative computational platforms that improve tool accessibility and...
Centuries of scientific invention have been driven by the search for new drugs to fight against diseases. Since medicinal plants became valuable sources of...
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