Therapeutic Targets: Progress of Their Exploration and Investigation of Their Characteristics
Pharmacological Reviews, ISSN: 0031-6997, Vol: 58, Issue: 2, Page: 259-279
2006
- 163Citations
- 128Captures
- 2Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations163
- Citation Indexes163
- 163
- CrossRef139
- Captures128
- Readers128
- 128
- Mentions2
- References2
- 2
Article Description
Modern drug discovery is primarily based on the search and subsequent testing of drug candidates acting on a preselected therapeutic target. Progress in genomics, protein structure, proteomics, and disease mechanisms has led to a growing interest in and effort for finding new targets and more effective exploration of existing targets. The number of reported targets of marketed and investigational drugs has significantly increased in the past 8 years. There are 1535 targets collected in the therapeutic target database compared with ∼500 targets reported in a 1996 review. Knowledge of these targets is helpful for molecular dissection of the mechanism of action of drugs and for predicting features that guide new drug design and the search for new targets. This article summarizes the progress of target exploration and investigates the characteristics of the currently explored targets to analyze their sequence, structure, family representation, pathway association, tissue distribution, and genome location features for finding clues useful for searching for new targets. Possible “rules” to guide the search for druggable proteins and the feasibility of using a statistical learning method for predicting druggable proteins directly from their sequences are discussed.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0031699724116742; http://dx.doi.org/10.1124/pr.58.2.4; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33646754515&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/16714488; https://linkinghub.elsevier.com/retrieve/pii/S0031699724116742; https://dx.doi.org/10.1124/pr.58.2.4; https://pharmrev.aspetjournals.org/content/58/2/259
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know