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Journal of inflammation research

Exploring Potential Stress Granule-Related Biomarkers in Childhood Asthma Using Integrated Bioinformatics and Machine Learning

  • Artificial intelligence

International journal of molecular sciences

Protein Self-Interaction in Cellular Function and Network Evolution: Molecular Mechanisms, AI-Driven Insights, and Therapeutic Potentials

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Neurology

Brain : a journal of neurology

Intron retention in health and amyotrophic lateral sclerosis

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Infection
  • Metabolism
  • Neurology
  • Plants

Synthetic and systems biotechnology

Engineering short-sequence elements for condensate-like assemblies by de novo design

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Biotechnology and engineering
  • Technology

Biochemical and biophysical research communications

Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning

  • Artificial intelligence
  • Biology and Physics of Condensates

Plant communications

Cell wall dynamics and their regulation by biomolecular condensates in plants

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Plants

Current opinion in biotechnology

Advancing stress biotechnology for robust sustainable bioproduction

  • Artificial intelligence
  • Biotechnology and engineering
  • Metabolism

Molecular biology of the cell

Integrative Chemical Genetics Platform Identifies Condensate Modulators Linked to Neurological Disorders

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Drug Discovery

Proceedings of the National Academy of Sciences of the United States of America

Combinatorial decision-making driven by multicomponent surface condensates

  • Artificial intelligence
  • Biology and Physics of Condensates

Scientific reports

Exploration of key stress granule-related genes in chronic sinusitis based on transcriptomics

  • Artificial intelligence
  • Biology and Physics of Condensates

bioRxiv : the preprint server for biology

Physics-guided design of intrinsically disordered proteins

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Biotechnology and engineering
  • Technology

Protein science : a publication of the Protein Society

PolyProline Predictor: A web server for empirical sequence-based prediction of polyproline II helices

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Neurology
  • Plants
  • Technology

Infectious agents and cancer

Single-cell transcriptomics and machine learning unveil liquid-liquid phase separation-related biomarkers in HPV-positive cervical cancer

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Cancer
  • Infection
  • Technology

British journal of haematology

Machine learning-driven investigation on liquid-liquid phase separation-related prognostic signature in diffuse large B-cell lymphoma

  • Artificial intelligence
  • Biology and Physics of Condensates

Cell

Deep learning of functional perturbations from condensate morphology

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Drug Discovery
  • Technology

American journal of physiology. Cell physiology

Extracellular Vesicles in Exhaled Breath Condensate as Emerging Biomarkers in Lung Cancer

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Cancer
  • Metabolism

Biotechnology advances

Liquid-liquid phase separation in metabolic engineering: Mechanistic insights, emerging applications, and future challenges

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Biotechnology and engineering
  • Metabolism
  • Technology

Magnetic resonance letters

Fragment-based discovery of TopBP1 inhibitors integrated with AI-driven molecular docking

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Cancer
  • Drug Discovery
  • Technology

Journal of chemical information and modeling

SSPSPredictor: A Sequence- and Structure-Based Deep Learning Model for Predicting Phase-Separating Proteins

  • Artificial intelligence
  • Biology and Physics of Condensates

The EMBO journal

Phosphorylation tunes strain-specific protein condensation during rotavirus replication organelle assembly

  • Artificial intelligence
  • Biology and Physics of Condensates
  • Biotechnology and engineering
  • Infection
  • Technology
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