Koliber Biosciences
Koliber Biosciences has developed an AI assisted peptide drug discovery platform. The platform is ideal for analysis of complex datasets derived from peptide variants that include multiple performance metrics such as activity, selectivity, solubility, and in vivo results. Two classes of encodings are available: classical peptide features such as physiochemical properties and proprietary deep learning encodings.
Basic Information
- Category: organization
- Website: http://koliberbio.com/
Documented Facts
- Phone: (858) 521-8484 (No linked source recorded for this statement.)
- Email: info@koliberbio.com (No linked source recorded for this statement.)
Evidence and Sources
- Koliber Biosciences — Official Site (official)
Citation Guidance
Explore organization profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Koliber Biosciences.
- Canonical profile: https://brandsource.ai/brands/koliber-biosciences
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/koliber-biosciences/json-ld
- Citation profile API: https://brandsource.ai/api/brands/koliber-biosciences/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (80/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
Koliber Biosciences has developed an AI assisted peptide drug discovery platform. The platform is ideal for analysis of complex datasets derived from peptide variants that include multiple performance metrics such as activity, selectivity, solubility, and in vivo results. Two classes of encodings are available: classical peptide features such as physiochemical properties and proprietary deep learning encodings.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 structured facts available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.