Biocogniz

Recent advances in diffusion models in Structural Biology

Recent research in Generative AI is rapidly transforming the frontier of research in computational structural biology. The successes have substantially advanced protein design and drug discovery. One of the key methodologies underlying these advances is diffusion models (DM).

Pharmacogenomics and NGS in Precision Medicine : A powerful combination

Precision oncology, fueled by these advancements, is revolutionizing cancer care. As NGS technology becomes faster and more affordable, it’s becoming a standard tool in diagnosing and treating cancer. This, along with continued research in pharmacogenomics, paves the way for the development of even more effective and personalized cancer treatments.

Beyond the Basics: Exploring the Power of Next-Generation Sequencing

Next-generation sequencing (NGS) has emerged as a game-changer across scientific disciplines. Unlike its predecessors, NGS allows researchers to rapidly and cost-effectively sequence entire genomes, offering unparalleled insights into the intricate code of life. Medicine: NGS is transforming personalized medicine. By analyzing an individual’s genome, we can identify genetic variations linked to diseases, predict disease risk, […]

Predicting synergistic drug combinations – MFSynDCP

MFSynDCP, a drug combination synergy prediction model based on multi-source feature interaction learning, intends to predict the synergistic effects of anti-tumor drug combinations. This model includes a graph aggregation module with an adaptive attention mechanism for learning drug interactions and a multi-source feature interaction learning controller for managing information transfer between different data sources, accommodating both drug and cell line […]

Protein-Protein-Docking

ARCTIC-3D a novel tool to retrieve your data and rationalize the interface information associated with the protein input data. Once provided with protein input data (a uniprot ID, a FASTA file, or a PDB file), ARCTIC-3D queries the PDBe-graph database through its graph-API, extracting the available information about the protein of interest.

Decoding the Microbial World

Microbial genome sequencing has revolutionized our understanding of the microscopic world, unlocking a treasure trove of information hidden within the DNA of microorganisms. From understanding disease mechanisms to optimizing agricultural practices and bioremediation, the applications are vast and impactful. However, raw genomic data is just the starting point. To truly understand the function of these organisms, we need to annotate their genomes.

Simplifying Molecular Dynamics

Molecular Dynamics (MD) simulations are powerful tools for understanding the dynamic behavior of biomolecules like proteins, protein-ligand complexes, and DNA. However, mastering the intricacies of MD simulations, especially with software like GROMACS, can be a daunting task for researchers, particularly those new to the field. That’s where CHAPERONg comes in, offering a streamlined and automated solution.

Yogurt and Colon Cancer

A fascinating study has shed new light on the intricate connection between long-term yogurt consumption, the presence of Bifidobacterium, and the risk of proximal colon cancer. While yogurt has long been touted for its potential health benefits, this research highlights the nuanced nature of its impact, particularly concerning colorectal cancer.

Onco-Ribosomes—The Specialized Protein Factories Fueling Cancer

Introduction: A Revolution in Understanding Ribosomes For years, ribosomes—the cellular machines that produce proteins—were thought to be identical entities, working uniformly across different types of cells. However, research has uncovered a new and fascinating complexity: specialized ribosomes, with onco-ribosomes taking center stage in cancer biology. These specialized ribosomes selectively produce proteins that aid tumor survival […]