All Stories

  1. Liquid-Liquid Phase Separation Associated with Intrinsically Disordered Proteins: Experimental and Computational Tools
  2. Metagenomics studies in aquaculture systems: Big data analysis, bioinformatics, machine learning and quantum computing
  3. Effects of pathological mutations on the CHCHD2 monomer structure: A study by AlphaFold3 linked to the generation of conformational ensembles
  4. BioMatics 1.0: A Wasserstein Distance Approach for Next-Generation Multiple Sequence Alignment
  5. Impacts of pathogenic mutations on the structures of the CHCHD10 monomer: An AlphaFold3 study linked to the generation of conformational ensembles
  6. Three new Microbacterium species isolated from the Marmara Sea mucilage event: Microbacterium istanbulense sp. nov., Microbacterium bandirmense sp. nov., Microbacterium marmarense sp. nov
  7. Unraveling Genomic and Pathogenic Features of Aeromonas ichthyocola sp. nov., Aeromonas mytilicola sp. nov., and Aeromonas mytilicola subsp. aquatica subsp. nov.
  8. Electromagnetic radiation and biophoton emission in neuronal communication and neurodegenerative diseases
  9. Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins
  10. Disordered peptide-based design of intrinsically disordered polymers for biomedical applications
  11. Effects of the Amyotrophic Lateral Sclerosis-related Q108P Mutation on the Structural Ensemble Characteristics of CHCHD10
  12. Key genes and pathways in the molecular landscape of pancreatic ductal adenocarcinoma: A bioinformatics and machine learning study
  13. Disordered Peptide-Based Design of Intrinsically Disordered Polymers for Biomedical Applications
  14. Structures prediction and replica exchange molecular dynamics simulations of α-synuclein: A case study for intrinsically disordered proteins
  15. Intrinsically Disordered Proteins by Homology Modeling and Replica Exchange Molecular Dynamics Simulations: A Case Study of Amyloid-β42
  16. Structural Properties of Rat Intestinal Fatty Acid-Binding Protein with its Dynamics: Insights into Intrinsic Disorder
  17. Current Stage and Future Perspectives for Homology Modeling, Molecular Dynamics Simulations, Machine Learning with Molecular Dynamics, and Quantum Computing for Intrinsically Disordered Proteins and Proteins with Intrinsically Disordered Regions
  18. The impacts of the mitochondrial myopathy-associated G58R mutation on the dynamic structural properties of CHCHD10
  19. Intrinsically Disordered Synthetic Polymers in Biomedical Applications
  20. Frontotemporal Dementia-Related V57E Mutation Impairs Mitochondrial Function and Alters the Structural Properties of CHCHD10
  21. Paving the Way for Synthetic Intrinsically Disordered Polymers for Soft Robotics
  22. Effects of the Jokela type of spinal muscular atrophy‐related G66V mutation on the structural ensemble characteristics of CHCHD10
  23. Intrinsically disordered proteins and proteins with intrinsically disordered regions in neurodegenerative diseases
  24. Structures of the Wild-Type and S59L Mutant CHCHD10 Proteins Important in Amyotrophic Lateral Sclerosis–Frontotemporal Dementia
  25. From Quantum Mechanics, Classical Mechanics, and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases
  26. Insights into the structural properties of SARS-CoV-2 main protease
  27. Methods to study the effect of solution variables on the conformational dynamics of intrinsically disordered proteins
  28. Secondary structure dependence on simulation techniques and force field parameters: from disordered to ordered proteins
  29. Challenges and limitations in the studies of glycoproteins: A computational chemist's perspective
  30. Challenges and Limitations in the Studies of Glycoproteins: A Computational Chemist’s Perspective
  31. Structures of MERS‐CoV macro domain in aqueous solution with dynamics: Impacts of parallel tempering simulation techniques and CHARMM36m and AMBER99SB force field parameters
  32. Secondary structure dependence of amyloid‐β(1–40) on simulation techniques and force field parameters
  33. Current Challenges and Limitations in the Studies of Intrinsically Disordered Proteins in Neurodegenerative Diseases by Computer Simulations
  34. Molecular simulations of IDPs: From ensemble generation to IDP interactions leading to disorder-to-order transitions
  35. Epitope region identification challenges of intrinsically disordered proteins in neurodegenerative diseases: Secondary structure dependence of α‐synuclein on simulation techniques and force field parameters
  36. Quantum Chemistry Meets Deep Learning for Complex Carbohydrate and Glycopeptide Species I
  37. Transition Metal Ion Interactions with Disordered Amyloid-β Peptides in the Pathogenesis of Alzheimer’s Disease: Insights from Computational Chemistry Studies
  38. Alanine Scanning Effects on the Biochemical and Biophysical Properties of Intrinsically Disordered Proteins: A Case Study of the Histidine to Alanine Mutations in Amyloid-β42
  39. Intrinsically disordered proteins in various hypotheses on the pathogenesis of Alzheimer's and Parkinson's diseases
  40. Revisiting Cu(II) Bound Amyloid-β40 and Amyloid-β42 Peptides: Varying Coordination Chemistries
  41. Insights into the Molecular Mechanisms of Alzheimer’s and Parkinson’s Diseases with Molecular Simulations: Understanding the Roles of Artificial and Pathological Missense Mutations in Intrinsically Disordered Proteins Related to Pathology
  42. BMP-2 and BMP-9 binding specificities with ALK-3 in aqueous solution with dynamics
  43. Tyrosine Regulates β-Sheet Structure Formation in Amyloid-β42: A New Clustering Algorithm for Disordered Proteins
  44. How accurate are your simulations
  45. Divalent copper ion bound amyloid-β(40) and amyloid-β(42) alloforms are less preferred than divalent zinc ion bound amyloid-β(40) and amyloid-β(42) alloforms
  46. Adenosine Triphosphate (ATP) Reduces Amyloid-β Protein Misfolding in vitro
  47. New force field parameters for metalloproteins I: Divalent copper ion centers including three histidine residues and an oxygen-ligated amino acid residue
  48. Arginine and Disordered Amyloid-β Peptide Structures: Molecular Level Insights into the Toxicity in Alzheimer’s Disease
  49. Structures and Free Energy Landscapes of the A53T Mutant-Type α-Synuclein Protein and Impact of A53T Mutation on the Structures of the Wild-Type α-Synuclein Protein with Dynamics
  50. Structures of the E46K Mutant-Type α-Synuclein Protein and Impact of E46K Mutation on the Structures of the Wild-Type α-Synuclein Protein
  51. Structures and Free Energy Landscapes of the Wild-Type and A30P Mutant-Type α-Synuclein Proteins with Dynamics
  52. The Structures of the E22Δ Mutant-Type Amyloid-β Alloforms and the Impact of E22Δ Mutation on the Structures of the Wild-Type Amyloid-β Alloforms
  53. Probing and Trapping a Sensitive Conformation: Amyloid-β Fibrils, Oligomers, and Dimers
  54. Structures and free energy landscapes of aqueous zinc(II)-bound amyloid-β(1–40) and zinc(II)-bound amyloid-β(1–42) with dynamics
  55. Amyloid-β peptide structure in aqueous solution varies with fragment size
  56. Metallic Systems
  57. Aqueous Solutions of Metal Ions
  58. Carbohydrate and Trivalent Iron Ion Interactions in the Gas Phase and in Aqueous Solution
  59. Single Ion and Dimerization Studies of the Al(III) Ion in Aqueous Solution
  60. Dynamic and Structural Properties of Aqueous Arsenic Solutions
  61. Identification of Active Sites of Biomolecules II: Saccharide and Transition Metal Ion in Aqueous Solution
  62. Ligand Exchange Reactions in the Formation of Diphosphine-Protected Gold Clusters
  63. Glycosidic linkage conformation of methyl-α-mannopyranoside
  64. Identification of Active Sites of Biomolecules. 1. Methyl-α-mannopyranoside and FeIII
  65. Coordination Studies of Al-EDTA in Aqueous Solution
  66. Water Dissociation in the Presence of Metal Ions
  67. Preferred conformation of the glycosidic linkage of methyl-β-mannose
  68. Hydrophobic Interactions of Xenon by Monte Carlo Simulations
  69. Hydrophobic Interactions by Monte Carlo Simulations