Covers AI-driven breakthroughs in molecular simulations, protein engineering, and therapeutic discovery. This category includes generative models, force fields, and structural biology tools that reduce R&D time, open new pathways for treating diseases, and accelerate innovation in life sciences and biotechnology.
The Foundation: Understanding PMDs Polarizable Multipole-based Molecular Dynamics Simulations (PMDs) represent the pinnacle of accuracy in computational protein modeling. PMDs are highly accurate computational methods for modeling proteins. At their core, PMDs capture the dynamic electronic response of molecules to…
Alpha-helices are fundamental structural elements in proteins, crucial in stability and function. While nature primarily relies on canonical alpha-helices, advancements in computational protein design and synthetic biology enable the creation of noncanonical helices with enhanced stability, novel binding capabilities, and…
Introduction Life’s fundamental processes rely on the ability of proteins to self-assemble into Complex structures, forming molecular machines that drive everything from photosynthesis to muscle contraction. Inspired by nature’s sophisticated protein assemblies, scientists have spent decades designing artificial protein structures…
Snakebites pose a major public health challenge, especially in tropical and subtropical regions. Every year, millions suffer from venomous snakebites, leading to over 100,000 deaths and countless cases of amputations or permanent disabilities. Snake venom contains potent toxins that can…
In this blog, we’ll explore how Generative Artificial Intelligence (AI) is transforming the drug discovery process, making it faster, more accurate, and more cost-effective. Developing new drugs has always been a complex, costly, and time-consuming journey. From the initial research stages to…
