Evidence map›Paper›PMID 28494316›Full record

ReviewCurrent opinion in chemical biology2017

Combinatorial chemistry in drug discovery.

Ruiwu Liu, Xiaocen Li, Kit S Lam

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

116 citing papers in PubMed.

  1. Article
  2. Phage Display as a Promising Platform for Peptide Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Lessons From Drug Discovery for Cryoprotective Agent Design: An AI-Oriented Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. High-Throughput Strategies for Streamlining Lipid Nanoparticle Development Pipeline.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  18. Article
  19. Review
  20. Review

56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ruiwu LiuDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Xiaocen LiDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Kit S LamDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA; Division of Hematology & Oncology, Department of Internal Medicine, University of California Davis, Sacramento, CA 95817, USA. Electronic address: kslam@ucdavis.edu.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Therapeutic Targeting Agents for Ovarian CancerR01CA115483 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI LAM, KIT S · 2005 to 2019
$5.5M
GESI: a novel technology for functional imaging in living cellsR33CA196445 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LAM, KIT S · 2016 to 2018
$1.1M
Genetically Encoded Small Illuminants for 4D nucleome imagingU01EB021230 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHENG, R.HOLLAND, IZUMIYA, YOSHIHIRO · 2015 to 2017
$990k
Dual imaging and therapeutic targeting agents for glioblastomaR21CA135345 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LIU, RUIWU · 2008 to 2009
$376k
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA115483NCI NIH HHS R21 CA135345NCI NIH HHS R33 CA196445NIBIB NIH HHS U01 EB021230
6 · The paper itself

Abstract

Several combinatorial methods have been developed to create focused or diverse chemical libraries with a wide range of linear or macrocyclic chemical molecules: peptides, non-peptide oligomers, peptidomimetics, small-molecules, and natural product-like organic molecules. Each combinatorial approach has its own unique high-throughput screening and encoding strategy. In this article, we provide a brief overview of combinatorial chemistry in drug discovery with emphasis on recently developed new technologies for design, synthesis, screening and decoding of combinatorial library. Examples of successful application of combinatorial chemistry in hit discovery and lead optimization are given. The limitations and strengths of combinatorial chemistry are also briefly discussed. We are now in a better position to truly leverage the power of combinatorial technologies for the discovery and development of next-generation drugs.

Indexed as

AnimalsCombinatorial Chemistry TechniquesDrug DiscoveryDrug Evaluation, PreclinicalHumans

Identifiers

PMID28494316
PMCPMC5645069

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.