This work reviews the computational and experimental approaches that disentangle folding and function at scale, revealing a dark energy component and providing new insights into how biological information flows from sequence to structure to function and back to sequence.
Ezequiel A. Galpern, Federico Caamaño, Ignacio E. Sánchez et al.· 0 citations
The current work highlighted the potential of polymer-based excipient systems for developing high-concentration injectable suspensions of proteins and their combinations on the viscosity, injectability, and stability.
Chanakya D. Patil, Yi-Jing Huang, K. Arte et al.· International journal of pha...· 0 citations
Endothelial DANCR deficiency promotes atherosclerotic plaque instability through activation of the RPL22/p53 pathway, suggesting DANCR as a potential protective factor and therapeutic target in atherosclerosis.
Shu-Ting Wang, Qi-Yue Zhang, Rong-Xia Li et al.· Journal of Advanced Research· 0 citations
This research investigates the potential role of quantum entanglement in biological information processing. We explore the feasibility of simulating quantum effects within biological molecules and examining the influence of entanglement on fundamental processes such as DNA sequence recognition and protein folding. The...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Description:1. Core Scientific ThesisThis repository serves as a comprehensive scientific reference and educational framework for substrate-native, integer-only computation. It demonstrates that the current reliance on IEEE-754 floating-point arithmetic introduces unnecessary thermodynamic overhead, non-determinism, an...
LLC Dragolich Research Labs· Zenodo (CERN European Organi...· 0 citations
Predicting protein three-dimensional structures from their amino acid sequences remains a grand challenge in computational biology. Traditional methods have struggled to accurately capture the complex, long-range interactions that govern protein folding. This work proposes a novel approach utilizing Graph Neural Networ...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This record contains the code-associated data and figures for "Tensor-based Approximation of Molecular Kinetics: Generator Learning, Reaction Coordinates and Incremental Updating". It provides the precomputed data, results, and figures behind four case studies: a 3D Lemon-Slice toy system, and molecular dynamics trajec...
Feliks Nüske, Peter Benner, Minakshi Verma· Zenodo (CERN European Organi...· 0 citations
Description:1. Core Scientific ThesisThis repository serves as a comprehensive scientific reference and educational framework for substrate-native, integer-only computation. It demonstrates that the current reliance on IEEE-754 floating-point arithmetic introduces unnecessary thermodynamic overhead, non-determinism, an...
LLC Dragolich Research Labs· Zenodo (CERN European Organi...· 0 citations
A fundamental theoretical framework for the development of specialized foods that possess safe swallowing and nutritional attributes is offered and the polarity of the tryptophan residue microenvironment alters and impeding the further folding of unfolded protein structures during heat-induced gelation is examined.
Wei Wang, Qing Shao, Li-Fei Wang et al.· Foods· 0 citations
The XGBoost model developed in this study achieved a relatively high AUC of 0.901, indicating that the model’s ability to confirm prolonged PACU stay remains somewhat insufficient, and can be used as an auxiliary screening tool in clinical rather than a definitive diagnostic tool.
Na Zhu, Xiang Xiong, Xuan-Zhao Wu et al.· BMC Anesthesiology· 0 citations
It is demonstrated that the oral microbiome differs between patients with AAA and those with advanced atherosclerotic disease and support further investigation of oral microbial alterations and their relationship to vascular pathologies.
J. T. Geiger, Ann Gill, Mario Matabele et al.· Frontiers in Cardiovascular...· 0 citations
Understanding plant responses to co-occurring metal contamination is essential for evaluating their phytoremediation potential, yet the physiological and molecular responses of Cyperus esculentus (CES) to combined Cu, Zn, and Cd exposure remain poorly understood. Here, CES plants were exposed to combined Cu, Zn, and Cd...
Chang-Song Ren, Wen-Qi Xiao, Yi-Jie Zhang et al.· Frontiers in Plant Science· 0 citations
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.