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...
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...
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...
Our cells are supported critically by proteins, which are also highly affected by their 3D structure. The triumph in computational biology is the ability...
RNA sequencing is currently a useful tool for studying the dynamic transcriptional mechanisms that control the operation of eukaryotic cells. Nevertheless, complicated experimental designs...
Acting as enzymes, structural elements, and molecular motors, proteins represent the molecular drive of biological systems, the elucidation of which relies on the explication...
Single-cell RNA sequencing (scRNA-seq) has brought a revolution in biological research by granting scientists a look into the mechanisms inside individual cells within a...
Users without prior Machine Learning (ML) experience have difficulties when it comes to training and implementing deep learning models. Regardless of prior experience with...
Unsung heroes of our cells are RNAs. These molecules are responsible for many biological processes, from carrying hereditary material to controlling protein production. However,...
Antibiotic resistance is one of the most pressing challenges in modern medicine. As bacteria evolve to withstand our best treatments, once-manageable infections are becoming...
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...
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