Some portals and servers we maintain for the community:

• CCharPPI
  Computational Characterisation of Protein–Protein Interactions.
• OPRA Server
  OPRA (Optimal Protein–RNA Area): identifies potential RNA-binding sites on proteins and facilitates modeling of biologically or therapeutically relevant protein–RNA interactions.
• Protein–RNA Benchmark v1.0
  Dataset of 106 cases for benchmarking protein–RNA docking (unbound–unbound, unbound–bound, model–bound, etc.).
• pyDockWEB
  Fast protocol using electrostatics and desolvation energy to score FFT-generated docking conformations.
• pyDockEneRes
  Calculates per-residue energy contributions in protein–protein interactions.
• pyDockRescoring
  Web service for rescoring jobs from the pyDockWEB server.
• pyDockSAXS
  Rigid-body protein–protein docking server integrating SAXS experimental data to refine predictions.
• pyDockWEB
  Web server for structural prediction of protein–protein interactions via computational docking.
• pyDockDNA
  Web server for structural prediction of protein–DNA interactions using computational docking.
• SKEMPI 2.0
  Database of 7000+ protein–protein mutation data, including thermodynamic and kinetic binding changes with available interaction structures.
• Bayesian mechanistic model of COVID-19 transmission dynamics
  Bayesian mechanistic model of COVID-19 transmission dynamics including the effect of vaccination.
• Assessment of the Risk of Contracting a Tick-borne Disease in Urban Areas
  This study aims to investigate the presence of hard ticks and their associated microorganisms in urban parks and green areas of major Spanish cities, in order to evaluate the risk of tick-borne diseases for urban residents, given the diagnostic challenges and the lack of previous studies in these environments. Request the password to view and collaborate.