New protein-folding AI vastly expands on Alphafold's efforts
The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe
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The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe
Intrinsically disordered regions of proteins may not be functionless after all. They appear to be multi-functional. Source
A team of researchers say that the current computational methods for predicting how proteins will bind are inadequate. They offer a simpler, and more accurate, way.
by Arjun Singh, Ali I. Ukperaj, Gabriel F. Porto, Gregory L. Dignon Intrinsically disordered proteins (IDPs) exhibit phase separation behavior that is closely linked to their degr...
A new approach guides AlphaFold with experimental data, helping it predict flexible protein shape ensembles instead of single static structures.
by Elijah Gunther, Pablo G. Camara The three-dimensional structure of proteins is intimately linked to their function, yet establishing comprehensive frameworks for systematically...
For decades, the existence of the hydrophobic core, a region in the 3D structure of proteins where hydrophobic amino acids reside together, has been considered a general property i...
In the ever-expanding field of structural biology, a striking paradox continues to capture the imagination of researchers: how can proteins with highly conserved three-dimensional...
In a groundbreaking study published recently in Nature Chemistry, researchers have unveiled a novel perspective on protein dynamics by investigating the flips of aromatic rings wit...
RNA sequencing continues to reveal unexpected RNA functions, including how mRNA 3′UTRs help regulatory proteins fold correctly and maintain proper cellular activity... The post MSK...
While 3' UTRs have traditionally been dismissed as key regulators, a new study shows that these highly conserved mRNA tails facilitate the folding of intrinsically disordered prote...
by Adam Wu, Jakub Lála, Quentin Trolliet, Abhinav Rajendran, Stefano Angioletti-Uberti We present a hybrid approach combining a protein language model (pLM) with Monte Carlo (MC)...
Proteins lie at the heart of biological function and industrial innovation, representing a vast frontier for scientific discovery and application. Engineering proteins to enhance o...
In this post, we demonstrate how to deploy BoltzGen on SageMaker AI and run an end-to-end protein design experiment. By the end of the walkthrough, you have a working setup that sc...
by Zhuoqi Zheng, Bo Zhang, Bozitao Zhong, Jinyu Yu, Kexin Liu, Zhengxin Li, Junjie Zhu, Ting Wei, Hai-Feng Chen Recent advances in de novo protein design have significantly progre...
by Lijuan Wang, Yuze Wang, Chen Qiu, Liwei Xiao, Xianliang Liu, Junjie Chen Protein sequence design for tailored functional properties is a fundamental task in protein engineering...
🧬 Back to basics! Learning non-polar amino acids, what zwitterions actually are, and dipping into the applied math — Rodrigues rotation and Lennard-Jones potential. Slowly bui...
In a striking leap forward at the intersection of nanotechnology and molecular biology, researchers have successfully engineered two-component, quasisymmetric protein cages through...
In a groundbreaking study published in the Journal of Molecular and Cellular Cardiology, researchers at the Medical University of South Carolina have uncovered critical defects in...
A new protein-design workflow turns inactive artificial scaffolds into efficient enzymes, opening paths to greener chemistry and biotech.
В этой статье попробуем посмотреть на белки как на инженерные конструкции. Разберём, как форма, заряды, альфа-спирали и бета-листы превращают аминокислотную цепочку в подвижный мех...
In the relentless quest to engineer novel enzymes capable of performing tailored chemical reactions with remarkable efficiency, a groundbreaking study has emerged from the frontier...
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