protein folding

Comparative agronomic performance of foliar-applied nano-biochar and potassium nanoparticles in enhancing nutrient uptake, growth, and yield of Triticum aestivum L.

The growing demand for sustainable crop production necessitates innovative nutrient management strategies based on waste valorization. In this study, two waste-derived nanofertilizers, nano-biochar (NBC) and potassium nanoparticles (KNPs), prepared via green routes were evaluated as foliar potassium sources in Triticum...

Postmodern Physics of Hamzah Information.(288)

تحلیل فوق‌دکتری جامع، فوق‌تخصصی، بدون کوچک‌ترین ساده‌سازی و کاملاً ضدگلوله برای نظریه و معمای شماره ۷۱ از ۱۰۰ (فاز پیشرفته مهندسی ارگانیک و بیوفیزیک فرین در پروتکل جامع فیزیک اطلاعات حمزه) با نام تجاری HamzahXcell: «ماتریس توپولوژیک میدان‌های چرخش فرومونیک-کوارکی برای هک پروتکل‌های تاشدگی پروتئین‌ها و بازنویسی ساختار ح...

RNA-Protein Interactions Prediction Using LSTM-CNN Technique

PathFold: Predicting the Entire Protein Folding Pathway from Protein Sequence Alone

Recent advances in protein structure prediction, exemplified by AlphaFold, have largely addressed the determination of static structures, one aspect of the protein folding problem. However, predicting folding pathways, by which proteins reach their native states, remains a significant challenge. Here, we present PathFo...

DyAb: sequence-based antibody design and property prediction in a low-data regime

DyAb is a pair-wise representation built on top of a pre-trained protein language model that achieves a Spearman rank correlation of up to 0.85 on binding affinity prediction across monoclonal antibodies targeting three different antigens.

Maternal Vaginal Lactoferrin Ameliorates Vertical Escherichia coli Transmission Independent of Innate Immune Modulation

Maternal vaginally administered BLF significantly reduced neonatal E. coli burden and alters CXCL2 (IL- 8 homologue) production in embryos following maternal vaginal E. coli inoculation, indicating a strong positive relationship between bacterial infection and CXCL2 production.

Graph Neural Networks for Predicting Protein Folding Pathways

Predicting the folding pathway of a protein – the process by which a linear chain of amino acids adopts its functional three-dimensional structure – is a central challenge in computational biology. Existing methods often struggle to accurately represent the intricate and dynamic interactions between amino acids that go...

Ribosome engineering enhances genetic code expansion in Saccharomyces cerevisiae

Genetic code expansion enables the site-specific installation of noncanonical amino acids (ncAAs) into proteins, but its limited efficiency in eukaryotes remains a major barrier to broader application. Here we establish a visual, plug-and-play screening platform to evolve 18S ribosomal DNA in Saccharomyces cerevisiae a...

THE NUMEN MANIFESTO: Substrate-Native Integer Computing, the 13×2 Linguistic Helix, Acoustic Sovereignty, and the Zero-Sum Cryptographic Sealing of Human-Machine Cognition

================================================================================EXECUTIVE SUMMARY: THE DEATH OF THE BLACK BOX================================================================================The modern AI industry is built on a statistical hallucination: trillion-parameter models consuming megawatts of en...

Engineering Piezo1‐Mediated Calcium Signalling for Enhanced Extracellular Vesicle Biogenesis and Cargo Loading

The use of the mechanosensitive ion channel Piezo1 as a robust regulator of EV biogenesis is exploited and mechanotransduction is identified as a key regulator of sEV biogenesis, underscoring the need for precise temporal control for the rational engineering of next-generation sEV therapeutics.

Title: Resonance-Based Probability Distribution Modeling

Resonance-Based Probability Distribution Modeling presents a novel probabilistic modeling framework predicated on the principles of resonant frequencies and vibrational modes within complex systems. This approach aims to enhance predictive accuracy across diverse domains, including protein folding, fluid dynamics, and...

Quantum Bioinformatics: Protein Structure Prediction Based on Quantum Entanglement

This paper presents a novel approach to protein structure prediction leveraging the principles of quantum entanglement. Traditional protein structure prediction methods are often limited by the computational complexity of simulating large biomolecular systems. We propose a framework that utilizes quantum entanglement t...