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Protein folding, the process by which a polypeptide chain attains its functional three-dimensional structure, is a fundamental problem in biochemistry and bioinformatics. Traditional approaches to predicting protein folding pathways have faced significant challenges due to the complex, high-dimensional nature of the un...
“Undruggable” proteins without surface-accessible binding sites pose significant challenges to target-based drug discovery. Innovative approaches are needed to tackle these proteins. One promising strategy is targeting them in their nascent chain form at the ribosome, where they have a different conformation than in th...
Evolution ONE is a standalone, vendor‑neutral platform that models cancer progression through the lens of Self‑Organised Criticality (SOC), duon biology, and physics‑based structural refinement. It ingests genomic mutation data (MAF, VCF) and outputs a complete oncological profile: the evolutionary regime of the tumour...
It is shown that HSPD1 depletion in MYCN-amplified NB cells led to reduced mitochondrial translation, MYCN expression, and tumorigenesis in vitro and in vivo and establishes HSPD1 as a promising target for the treatment of MYCN-amplified NB.
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Dynamic Topology Optimization (DTO) is a powerful tool for designing complex systems, such as neural networks and protein folding, by iteratively refining the topology to meet specific requirements. Traditional DTO methods often rely on static parameters, limiting the system's adaptability and potentially hindering the...
Yarrowia lipolytica is a promising industrial host, yet its metabolic engineering potential remains limited by insufficient genetic tools. Here, we engineered a synthetic Transcription Activation Toolkit (TAT) based on LacI–VPRH, a chimeric protein fusing the prokaryotic DNA-binding domain LacI with the eukaryotic ac...
This paper introduces a novel adaptive multi-dynamics simulation framework designed to model complex biological systems and optimize biological engineering design through automated parameter adjustment based on simulation results. Traditional multi-dynamics simulations often require extensive manual parameter tuning, h...
First version submitted to Bioconductor. NADIA covers the differential abundance analysis of protein quantification data from the raw report to the figure, treating the missing values that dominate data-independent acquisition as the central problem rather than a nuisance to be filtered away. Reports from Spectronaut,...
This paper explores the potential of integrating quantum computing with bioinformatics to revolutionize protein structure prediction. Traditional methods face significant computational challenges, particularly with complex proteins. We propose a novel approach leveraging quantum algorithms to accelerate molecular simul...
This paper explores the potential of integrating quantum computing with bioinformatics to revolutionize protein structure prediction. Traditional methods face significant computational challenges, particularly with complex proteins. We propose a novel approach leveraging quantum algorithms to accelerate molecular simul...
Dynamic Topology Optimization (DTO) is a powerful tool for designing complex systems, such as neural networks and protein folding, by iteratively refining the topology to meet specific requirements. Traditional DTO methods often rely on static parameters, limiting the system's adaptability and potentially hindering the...
It is established that mitochondrial protein import couples translation-associated proteotoxic stress to mitochondrial injury and regulation of import flux as a determinant of mitochondrial integrity during proteostasis failure.
Proof of concept for watermarking AI-generated proteins while preserving biological function.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
AlphaFold has revealed the structure of a key protein behind heart disease
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