International Journal of Structural Biology

ISSN: Coming Soon

IJSB

Aims and Scope

International Journal of Structural Biology accepts contributions in the form of Original Research, Review, Literature review, Conference proceedings, Case reports, Short communication, Thesis, Letter to editor and Editorials dealing with the structural analysis of living material at every level of organization by all methods for better understanding of biological function in terms of molecular and supermolecular structure.

IJSB Scope has been outlined below, not limited to the keywords which were specified. For queries, do email to [email protected]

  • Bio physics and structural biology
  • Bio-engineering
  • Computational approaches in structural biology
  • Computational structural biology
  • Data mining in structural biology
  • Determination of 3d structures
  • Frontiers in structural biology
  • Future scope of cell and structural biology
  • Marginal structural
  • Marginal structural models
  • Molecular dynamics
  • Molecular modelling
  • Nmr and mass spectroscopy
  • Recent advancements in structural biology
  • Regulations and ethics
  • Sequence analysis
  • Stem cell biology and regenerative medicine
  • Structural and cell biology
  • Structural and molecular interrogation of intact biological systems
  • Structural basis
  • Structural basis of transcription activation
  • Structural biochemistry
  • Structural biology
  • Structural biology complexity arenas
  • Structural biology databases
  • Structural biology in cancer research
  • Structural biology in cellsignalling
  • Structural biology in drug design
  • Structural biology in drug discovery
  • Structural biology of the core autophagy machinery
  • Structural covariance
  • Structural determinants
  • Structural enzymology
  • Structural equation model
  • Structural equation modeling
  • Structural integration
  • Structural modification
  • Structural MRI
  • Structural plasticity
  • Structural variants
  • Structural variation
  • Structural violence
  • Structure prediction by hybrid approach
  • Systems biology