Researchers from the Department of Biological Chemistry at Hebrew University, Jerusalem, and the Department of Pharmaceutical Chemistry at the University of California, San Francisco,...

In an effort to provide a comprehensive solution for protein research, researchers present HelixProtX, a system built around the large multimodal model that facilitates...

In the world of drug discovery, predicting how well a drug molecule will bind to its target is like figuring out the best path...

Antibiotic resistance is increasing as a global problem, meaning previously effective treatments for bacterial infections have ceased to work. It is vital to accurately...

A significant obstacle to the clinical prognosis is tumor metastasis, or the spread of cancer cells from the original tumor to other locations. The...

Global environmental concerns and the need for sustainable development require new technologies for producing fine chemicals and managing waste efficiently. Nowadays, using enzymes in...

A recent study by Akihisa Osakabe and his colleagues, researchers at the University of Tokyo, elucidated the intriguing dance between plants and their "jumping...

Researchers from the University of California deploy SEUSS (scalable functional screening by sequencing), a perturb-seq method, to analyze single-gene missense mutations, which have been...

Evaluating specific properties of molecules from simple SMILE strings isn't enough. Instead of simple chalkboard formulae, our aim should be to conjure up three-dimensional...

Single-cell technologies are effective drug development and discovery tools, serving important functions at several phases. They aid in identifying potential therapeutic targets, streamline single-cell...

A part of systems biology is ‘designing RNA structures,’ which entails planning and organizing molecules of RNA into custom 3D formations with particular uses....

In one of the significant research studies, the researchers of Boston Children's Hospital, Harvard Medical School, and Broad Institute of Harvard and MIT, Cambridge,...

A recent study led by researchers from A*STAR explores the interplay between race and the function of the cell. Researchers used healthy blood samples...

In today's world, efficiently managing and analyzing vast amounts of data is crucial for various industries. GenSQL, a pioneering system developed by researchers at...

A web-based tool called Protein Interaction Explorer (PIE) by researchers from Université de Paris, France, was created to support structure-based drug discovery efforts that center...

As the fight against disease has changed, so have therapeutic strategies. One such new approach is Targeted Protein Degradation (TPD), which attempts to exploit...

The Central Dogma of Biology describes the process of DNA (Deoxyribonucleic acid) undergoing transcription to form RNA (Ribonucleic acid) and transformation to form proteins...

In the context of the field of medical practice, identifying potential DDIs (Drug-drug interactions) is critical in assessing the safety of a patient’s prescribed...

Large Language Models (LLMs) have greatly revolutionized text generation and comprehension in the world of Natural Language Processing. Nowadays, they can be used for...

Dr. Runze Li and his colleagues from different institutes in China have recently developed high-tech tools that help researchers navigate through the complexities of...

Researchers from the University of Illinois Urbana-Champaign introduce APACE, AlphaFold2, and advanced computing as a service, a computational framework that manages this TB-sized AI...

Dante Genomics launched Dante GenomeChat, which enables users to receive highly personalized genomic information thanks to advanced technology. A graphical iOS app can access...

Recent pioneering research by Université Paris-Saclay and Instadeep scientists has introduced a new technique, BulkRNABert. This method exploits a language model, an artificial intelligence...

A team of researchers from France and Spain designed BiomiX, a user-friendly bioinformatics tool for multiomics data analysis. BiomiX addresses the challenge of multiomics...

Improved identification of interactions between proteins and ligands has been invaluable in the progress of computational biology, potentially enhancing drug discovery and revealing more...

Genes are the basic units of heredity, but they only come to life when translated into proteins. The study of the proteins found in...

Vision language modeling has been transformed by transformational AI technology called multimodal learning. Technological developments such as multimodal GPT-4V and LLaVA-Med allow for powerful...

Artificial intelligence (AI) has become widely accessible, transforming from a specialized resource into a common tool for cancer researchers. It is beneficial for every...

Scientists from Yale University, UCLA, and UT Health have introduced Geneverse, a collection of fine-tuned LLMs and multimodal LLMs (MLLMs) for genomic and proteomic...

Drug discovery requires the fundamental process of molecular property prediction or MPP. However, the shortcomings of previous approaches—crucial for real-world applications—are their limited capacity...

Researchers at EvolutionaryScale introduced ESM3, an AI-driven language model for the life sciences that enables us to create and program using the universal language...

The field of medicine has had big news. Scientists from Google Research and Google DeepMind unveil Tx-LLM, a new tool that helps speed up...

In drug development, the accurate prediction of RNA structures plays a pivotal role. Leveraging the power of machine learning, particularly Variational Autoencoders (VAEs), has...

Scientists at Westlake University have developed FoldToken2, a novel approach to protein structure representation that is capable of surpassing the coordinates. This innovative method...

Transformers have shown promise in computational biology, but applying them to biological sequences could cause mispredictions in the downstream processes. A greater range of...

It is still very difficult to construct complex protein folds from scratch using only computational methods. École Polytechnique Fédérale de Lausanne (EPFL) scientists create...

Researchers from the Institute for Research in Biomedicine (IRB Barcelona) introduce CGeNArate, a short sequence-dependent coarse-grained model for DNA simulations. CGeNArate solves the challenge...

In the world of molecular design that is constantly evolving, it is always essential to ensure that along with the structure and properties of...

Omega is an open-source software tool that greatly enhances the field of bioimage analysis. Developed by Loïc A. Roy from Chan Zuckerberg Biohub  San...

Understanding the intricate physical interactions between a molecule and its surroundings is necessary to generate unique active molecules for a particular protein, which is...

The field of protein modeling has witnessed remarkable advances in recent years, particularly with the advent of machine learning techniques. A new review by...

In the field of health, LLM endeavors to concentrate on clinical duties and obtain a diverse array of data. The promise of LLMs in...

Suppose there was a library where the whole instruction manual for every living organism on Earth could be found. It's not science fiction, but...

Despite the challenge of scaling for large-scale screenings, advances in computational structural biology, like AlphaFold-Multimer, have greatly improved the understanding of protein-protein interactions across...

In a recent scientific breakthrough, a team of researchers from NVIDIA and Innophore, USA, came up with a holistic dataset of the predicted protein...

Antibiotic resistance must be addressed immediately with novel antibiotics. By using a large dataset of 63,410 metagenomes and 87,920 prokaryotic genomes from environmental and...

Sequence-to-structure predictions are the main focus of current computational methods for reverse translation, which is the process of translating complicated protein structures into sequences....

The healthcare industry is about to change significantly due to the advent of generative AI. Meta Llama 3 NIM, a mighty NVIDIA-developed AI microservice,...

Bioinformatics, in its continuous advancement, depends on the detailed examination of proteins within its molecular domain. Proteins, the working structures of the cell, have...

Significant progress has recently been made in predicting protein sequence to structure; however, modeling protein interfaces and complex structures is still tricky, particularly when...