All important biological processes revolve around protein-protein interactions (PPIs'). Designing PPIs' is difficult, nonetheless, because of the intricate structural characteristics that define them. Researchers...
Researchers from Yale University and other institutions have identified MED6-189 as a new antimalarial drug, a new development that might change the dynamics of...
Making synthetic protein sequences from protein structures is a powerful use of protein engineering technology. It can be challenging to create designed proteins, though,...
Improved computational tools and artificial intelligence significantly improve drug discovery. This process has automated activities like molecular docking and predictive modeling to discover candidates...
The investigation of nuclear anomalies and how they influence the regulation of genes warrants analysis of various cellular functions and diseases. The researchers from...
Modeling of protein-small molecule systems offers advantages in speed and generality for exploring interactions with small molecules in the folded state; the modeling of...
Bioinformatics is a rapidly growing field that blends biology, computer science, and data analysis to make sense of biological data. This field is growing...
Determining the function of proteins is one defining aspect of molecular biology that also carries great potential in drug discovery and development. A better...
The ability to anticipate the structure of proteins is essential for improving biological research, developing new pharmaceuticals, and designing experiments. It also helps to...
In a remarkable corridor of achievement, the scientists of the University of Southampton have reputedly gotten the ability to conserve the complete human genomic...
Target-based drug development depends heavily on characterizing druggable pockets, which are protein areas with the capacity to bind organic small molecules. Nevertheless, the process...
Clinical care as well as scientific research depend heavily on biomedical image segmentation. Certain biomedical picture segmentation tasks can be accurately automated by deep...
In a groundbreaking study published in Nature Methods, a group of scientists consisting of the UC Santa Cruz Genomics Institute, University of Ferrara, Google...
A notable progress in protein prediction and generative tasks, such as 3D structure prediction, protein design, and conformational dynamics, has been made in recent...
A recently published work by researchers from the Wuhan Textile University, China, and Michigan State University, USA, has addressed the use of transformer models...
One major obstacle in structure-based drug design is accurately predicting the affinities of protein-ligand interaction. The accuracy of data-driven affinity prediction methods has improved...
Numerous biological processes are regulated by protein-protein interactions (PPIs), and modified PPIs have uses in gene and cell therapy. Here, researchers from the University...
Genome-wide association Studies (GWAS) consider sequencing the DNA of a person and then comparing it with a population to find genetic markers associated with...
An increasing number of studies employ metagenomic analyses to investigate the taxonomy and function of microorganism communities. In many microbial research, one typical job...
In drug development, it isn't easy to learn molecular representation from chemical structures since traditional molecular representation techniques, such as sequence-based and graph-based approaches,...
In a groundbreaking announcement that has sent ripples through the scientific community, the Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize...
Recent research shows that within the domain of synthetic biology, there have been tremendous improvements, especially in designing and engineering biological systems. Plasmids, crucial...
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