Evidence map›Paper›PMID 28536394›Full record

ReviewBiomedicines2016

Complementary Approaches to Existing Target Based Drug Discovery for Identifying Novel Drug Targets.

Suhas Vasaikar, Pooja Bhatia, Partap G Bhatia, Koon Chu Yaiw

Abstract readReview
In one paragraph

Review in Biomedicines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Expert opinion on therapeutic targets
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Suhas VasaikarIntegrative Biology, Baylor College of Medicine, Houston, TX 77030, USA. suhas.vasaikar@bcm.edu.
Pooja BhatiaSchool of Biological Sciences, Indian Institute of Technology, Delhi 110016, India. poojabhatia.iitd@gmail.com.
Partap G BhatiaDepartment of Pharmaceutics and Pharmaceutical Microbiology, Usmanu Danfodiyo University, Sokoto 840231, Nigeria. partapgbhatia@gmail.com.
Koon Chu YaiwExperimental Cardiovascular Research Unit, Department of Medicine-Solna, Center for Molecular Medicine, Karolinska Institute, Stockholm 17177, Sweden. koon.yaiw@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, it was observed that the relationship between the emerging New Molecular Entities and the quantum of R&D investment has not been favorable. There might be numerous reasons but few studies stress the introduction of target based drug discovery approach as one of the factors. Although a number of drugs have been developed with an emphasis on a single protein target, yet identification of valid target is complex. The approach focuses on an in vitro single target, which overlooks the complexity of cell and makes process of validation drug targets uncertain. Thus, it is imperative to search for alternatives rather than looking at success stories of target-based drug discovery. It would be beneficial if the drugs were developed to target multiple components. New approaches like reverse engineering and translational research need to take into account both system and target-based approach. This review evaluates the strengths and limitations of known drug discovery approaches and proposes alternative approaches for increasing efficiency against treatment.

Indexed as

drug designdrug discoverydrug targetsmolecular imagingrepositioning

Identifiers

PMID28536394
PMCPMC5344266

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.