The large-language model (LLM)-based model, ChatGPT, had its clinical decision-making abilities put to the test in a joint study by researchers from Harvard Medical...
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...
Research on genomes is booming in the scientific community, and this is translating into an explosion of published results. Genetic experts and researchers now...
Modeling the combinatorially huge number of sequences is not practical since previous approaches frequently restrict optimization to a narrow mutational radius, restricting the design...
Are you aware that plenty of operational AI applications have emerged in the early stages of small-molecule drug discovery? Do you recognize that those...
Drug discovery has traditionally been a tedious and difficult process characterized by sifting through large amounts of data, which may be about to get...
A new NLP model called BioMedLM from the researchers of Stanford University and DataBricks seeks to rival models like Med-PaLM 2, which performs admirably...
The synergy among the Nuffield Department of Medicine and the Department of Statistics at the University of Oxford represents a blend of medical expertise...
Have you ever wondered what happens when you take multiple medications? Although each drug is intended to address a particular condition, there are instances...
A ground-breaking solution in modern-day continuously advancing healthcare internationally is developing waves in vaccine improvement. Developed by brilliant minds at the School of Medicine,...
Researchers at Universität Hamburg introduced PiMine, an application that senses structurally related protein-protein interfaces while being driven by a database. PiMine analyzes these interfaces,...
Proteins are life's molecular workhorses and play crucial roles in every biological process. Understandably, their complex shapes, also known as conformations, are the key...
Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type...
AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models...
The main obstacle in protein engineering is the lack of diversity in training data, which makes it difficult to create high-performance enzyme variations with...
The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in...
In the vast and intricate realm of metagenomics, where microbial communities unveil a wealth of biomedical knowledge, a groundbreaking development has emerged. Scientists from...
A thorough understanding of the cellular connections inside these tissues is being made possible by technologies that use spatial transcriptomic approaches to revolutionize the...
PROTLLM is a versatile crossmodal large language model (LLM) proposed by Beijing Institute of Technology researchers designed for protein-centric and protein-language tasks. It can handle...
Bile acids, simple molecules that live in our intestines, have long been relegated to the role of digestive workhorses, faithfully emulsifying fats for absorption....
DNA archives are a public repository for a great amount of knowledge about the evolution of bacteria and their mobile elements. However, the majority...
The complex processes that regulate biological systems have fascinated scientists for thousands of years. However, elucidating these complex issues sometimes requires thinking outside the...
Models like AlphaFold2 (AF2) and RoseTTAFold, a modified structural biology tool, have not been able to replicate well the interactions or covalent changes with...
Prostate cancer remains a significant health threat for men globally. The development of cancer is an evolutionary process involving the sequential acquisition of genetic...
Large-scale gene expression data is used by Geneformer and scGPT models to build fundamental single-cell biology models. These models implicitly learn gene and cellular...
Gaining insight into the intricate workings of genes within cells is essential to comprehending biological processes and illnesses. Bulk RNA sequencing, which hides diversity...
Numerous fundamental functions of ribonucleic acid (RNA) are involved in basic biological processes. It is imperative that we deepen our comprehension of the structures...
Molecular geometry modeling, which involves building models that show the spatial arrangement of atoms in a molecule, usually helps with this understanding. The field...
The geometric characteristics of protein-nucleic acid complexes, which are explored using structural models, are crucial for proteins to recognize and bind nucleic acids. However,...
The versatile workhorses of our cells, proteins, are essential to many biological processes. Numerous scientific endeavors, such as medication research and the creation of...
In living organisms, different types of proteins are essential for a variety of critical processes. The structural and functional diversity of many protein types...
The ability to comprehensively decode the cis-regulatory logic that controls the expression values is made possible by the revolutionary high-throughput measurement of the cis-regulatory...
Building a smart and helpful medical assistant through AI is challenging. The healthcare industry has several obstacles, such as the increasing costs and shortage...
The drug discovery process is unduly time-consuming and expensive. Extensive laboratory testing is required to evaluate potential drug candidates for absorption, distribution, metabolism, excretion,...
The scientific community may uncover the nature of life due to the great amount of biological data at its disposal. Implementing bioinformatics ensures converting...
The DNA, RNA, and proteins that control an organism's entire functioning are all fully encoded in a sequence called the genome. Large-scale genome databases...
The ability to accurately model and redesign ligand binding sites (pockets) on protein surfaces holds tremendous value across fields like drug discovery, enzyme engineering,...
OncoGPT is a customized language model created by Shenzhen Kanghua Juntai Biotech Co. Ltd. researchers in China that is intended to deliver precise medical...
Dynamic structural ensembles play a major role in the biological functions of proteins. For the purpose of learning and sampling the conformational landscapes of...
Reduced representation methylation sequencing for CpG islands or imprinted areas is made possible by Oxford Nanopore sequencing, which offers a distinct advantage over other...
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....
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