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DIFF Main Group
G16B 35/00

ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides

Introduced: January 2019

Title

Titles differ between systems:

IPC: ICT specially adapted for combinatorial libraries of nucleic acids, proteins or peptides

CPC: ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides

Full Title

Full titles differ between systems:

IPC:

ICT specially adapted for combinatorial libraries of nucleic acids, proteins or peptides

CPC:

ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides

IPC and CPC are identically structured here. All 2 subcodes exist in both systems.

IPC defines codes here since 2019.

Child Classifications

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  • G16B 35/10 Design of libraries since 2019 IPC+CPC Available in IPC and CPC
  • G16B 35/20 Screening of libraries since 2019 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G16,2013–2023, worldwide · Source: EPO PATSTAT

  1. PHILIPS ELECTRONICS NL 4,707
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 1,767
  3. SAMSUNG ELECTRONICS COMPANY KR 1,458
  4. CHINESE ACADEMY OF SCIENCES 1,144
  5. ILLUMINA US 1,097
  6. SIEMENS HEALTHCARE DE 1,074
  7. PHILIPS ELECTRONICS 1,026
  8. FUJIFILM JP 990
  9. PING AN TECHNOLOGY COMPANY 892
  10. ROCHE CH 864

Top Applicants (CPC)

Class G16,2013–2023, worldwide · Source: EPO PATSTAT

  1. PHILIPS ELECTRONICS NL 7,379
  2. SAMSUNG ELECTRONICS COMPANY KR 2,740
  3. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 2,388
  4. PHILIPS ELECTRONICS 1,849
  5. SIEMENS HEALTHCARE DE 1,697
  6. FUJIFILM JP 1,618
  7. ILLUMINA US 1,335
  8. ROCHE CH 1,264
  9. UNIVERSITY OF CALIFORNIA US 1,181
  10. DEXCOM US 1,150