ReviewCurrent pharmaceutical design2002
The shape of the messenger: using protein structure information to design novel cytokine-based therapeutics.
Review in Current pharmaceutical design, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- Review
- Review
- Repurposing approved drugs for cancer therapy.British medical bulletin · 2021Review
- Article
- Physicochemical property consensus sequences for functional analysis, design of multivalent antigens and targeted antivirals.BMC bioinformatics · 2012Article
- Structural analysis of cytokines comprising the IL-10 family.Cytokine & growth factor reviews · 2010Review
- Bioinformatics approaches to classifying allergens and predicting cross-reactivity.Immunology and allergy clinics of North America · 2007Review
- Stereophysicochemical variability plots highlight conserved antigenic areas in Flaviviruses.Virology journal · 2005Article
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.
Funding
Abstract
The cloning and mass production of recombinant cytokine proteins opened a new world of treatment possibilities. While some cytokines, including several haematopoietic factors and interferons, are now used routinely in the clinic, there are still many problems with side effects. These are due to the many different activities of cytokines on different cell populations. In some cases, activities responsible for side effects have been attributed to discreet areas of the proteins and "structure driven design" can be used to generate novel proteins with better clinical profile. In other cases, structural alterations can enhance activity by increasing serum half-life. This review summarizes the structures of cytokines and their receptor complexes deposited in the Protein Data Base (PDB) and introduces the other articles in this issue on structure-driven design of cytokines for therapy. Cytokines fall into only a few structural classifications. Most of the growth regulatory cytokines including serum factors, growth hormone, haematopoietic growth factors, colony stimulating factors, erythropoietin, IL-3, IL-2 and interferons, are four or five helix bundles. Factors which primarily induce inflammatory responses, including TNF, lymphotoxin and IL-1, form beta-barrel structures that resemble the FGF family. Chemokines and factors that regulate multicellular responses, such as macrophage migration, neutrophil invasion and chemotaxis, have similar structures, classified as alpha + beta. One biological paradox is that many cytokines that vary greatly in function have a similar structure and share receptors. However, homologous cytokines may differ considerably in their mode of interaction with a shared receptor. A few structures for the extracellular regions of cytokine receptors are known, in several cases complexed with their biological target. These structures, coupled with structural alignment of families, indicate areas that control binding to receptors, as opposed to specific areas responsible for the specific activities of this diverse group of proteins. Methods to use cytokine structure to derive better therapeutics are summarized.
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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.