All Stories

  1. ccbmlib – a Python package for modeling Tanimoto similarity value distributions
  2. Repositioning the Chemical Information Science Gateway
  3. Duality of activity cliffs in drug discovery
  4. Identification of New Chromenone Derivatives as Cholinesterase Inhibitors and Molecular Docking Studies
  5. Foundations of data-driven medicinal chemistry
  6. Computationally derived compound profiling matrices
  7. Data analytics and deep learning in medicinal chemistry
  8. Improving the utility of molecular scaffolds for medicinal and computational chemistry
  9. Series of screening compounds with high hit rates for the exploration of multi-target activities and assay interference
  10. Collection of analog series-based scaffolds from public compound sources
  11. Computational design of new molecular scaffolds for medicinal chemistry, part II: generalization of analog series-based scaffolds
  12. Expanding the chemical information science gateway
  13. Towards a systematic assessment of assay interference: Identification of extensively tested compounds with high assay promiscuity
  14. Identifying relationships between unrelated pharmaceutical target proteins on the basis of shared active compounds
  15. Exploring differential evolution for inverse QSAR analysis
  16. From activity cliffs to promiscuity cliffs
  17. Representation and identification of activity cliffs
  18. Computational scaffold hopping: cornerstone for the future of drug design?
  19. Entering the ‘big data’ era in medicinal chemistry: molecular promiscuity analysis revisited
  20. Mapping of inhibitors and activity data to the human kinome and exploring promiscuity from a ligand and target perspective
  21. Analog series-based scaffolds: computational design and exploration of a new type of molecular scaffolds for medicinal chemistry
  22. Design of chemical space networks incorporating compound distance relationships
  23. Drug discovery and development in the era of Big Data
  24. Computational chemistry and computer-aided drug discovery: Part II
  25. Computational chemistry and computer-aided drug discovery: Part I
  26. Chemical space visualization: transforming multidimensional chemical spaces into similarity-based molecular networks
  27. Analyzing compound activity records and promiscuity degrees in light of publication statistics
  28. Activity-relevant similarity values for fingerprints and implications for similarity searching
  29. Systematic assessment of analog relationships between bioactive compounds and promiscuity of analog sets
  30. On the evolving open peer review culture for chemical information science
  31. AnalogExplorer2 – Stereochemistry sensitive graphical analysis of large analog series
  32. Computer-aided drug discovery
  33. Identification of Interaction Hot Spots in Structures of Drug Targets on the Basis of Three-Dimensional Activity Cliff Information
  34. Comprehensive knowledge base of two- and three-dimensional activity cliffs for medicinal and computational chemistry
  35. Promiscuity progression of bioactive compounds over time
  36. Follow-up: Prospective compound design using the ‘SAR Matrix’ method and matrix-derived conditional probabilities of activity
  37. Activity cliff clusters as a source of structure–activity relationship information
  38. Structural and Modeling Studies on ecto-5’-nucleotidase Aiding in Inhibitor Design
  39. Entering new publication territory in chemoinformatics and chemical information science
  40. Target-based analysis of ionization states of bioactive compounds
  41. Extension of three-dimensional activity cliff information through systematic mapping of active analogs
  42. Identification and analysis of the currently available high-confidence three-dimensional activity cliffs
  43. On data sharing in computational drug discovery and the need for data notes
  44. Activity artifacts in drug discovery and different facets of compound promiscuity
  45. Monitoring drug promiscuity over time
  46. The ‘SAR Matrix’ method and its extensions for applications in medicinal chemistry and chemogenomics
  47. Advancing the activity cliff concept, part II
  48. Compound data sets and software tools for chemoinformatics and medicinal chemistry applications: update and data transfer
  49. Matched molecular pair-based data sets for computer-aided medicinal chemistry
  50. Matched molecular pairs derived by retrosynthetic fragmentation
  51. Specific chemical changes leading to consistent potency increases in structurally diverse active compounds
  52. Advancing the activity cliff concept
  53. High-resolution view of compound promiscuity
  54. Freely available compound data sets and software tools for chemoinformatics and computational medicinal chemistry applications
  55. Computational characterization of SAR microenvironments in high-throughput screening data