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...
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...
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