ReviewBiopolymers2016
Design of cyclic peptides with biological activities from biologically active peptides: the case of peptide modulators of melanocortin receptors.
Review in Biopolymers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed, 13 citations in OpenAlex.
- The melanocortin pathway and control of appetite-progress and therapeutic implications.The Journal of endocrinology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Design of biologically active peptides is of critical importance for the development of potent, selective, nontoxic bioavailable drugs. A major approach that has been developed to accomplish this is the development of methods for the design and synthesis of a wide variety of cyclic peptides and peptidomimetics. In this short and general review, we outline the methods that have been developed for cyclization of peptides and how these have been used for peptide and peptidomimetic design using the melanotropin peptides and melanocortin receptors MC1R, MC3R, MC4R, and MC5R to illustrate aspects of this approach.
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Registered trials
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.