Quantitative Assessment of Affinity Selection Performance by Using DNA‐Encoded Chemical Libraries
Research article (ChemBioChem, 2018) · cited 49× · AI/ML
Press Enter · cited answer in seconds
.xyz
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
4ort.xyz Knowledge Graph. (2026). Quantitative Assessment of Affinity Selection Performance by Using DNA‐Encoded Chemical Libraries. Retrieved October 18, 2026, from https://4ort.xyz/entity/quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries
“Quantitative Assessment of Affinity Selection Performance by Using DNA‐Encoded Chemical Libraries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries.
@misc{4ortxyz_quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative Assessment of Affinity Selection Performance by Using DNA‐Encoded Chemical Libraries}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries}, note = {Accessed: 2026-10-18}}
According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantitative Assessment of Affinity Selection Performance by Using DNA‐Encoded Chemical Libraries — https://4ort.xyz/entity/quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries (retrieved 2026-10-18)
Canonical URL: https://4ort.xyz/entity/quantitative-assessment-of-affinity-selection-performance-by-using-dnaencoded-chemical-libraries · Last refreshed: