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Computer-aided design of amino acid-based therapeutics: a review

Overview of attention for article published in Drug Design, Development and Therapy, May 2018
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Title
Computer-aided design of amino acid-based therapeutics: a review
Published in
Drug Design, Development and Therapy, May 2018
DOI 10.2147/dddt.s159767
Pubmed ID
Authors

Tayebeh Farhadi, Seyed MohammadReza Hashemian

Abstract

During the last two decades, the pharmaceutical industry has progressed from detecting small molecules to designing biologic-based therapeutics. Amino acid-based drugs are a group of biologic-based therapeutics that can effectively combat the diseases caused by drug resistance or molecular deficiency. Computational techniques play a key role to design and develop the amino acid-based therapeutics such as proteins, peptides and peptidomimetics. In this study, it was attempted to discuss the various elements for computational design of amino acid-based therapeutics. Protein design seeks to identify the properties of amino acid sequences that fold to predetermined structures with desirable structural and functional characteristics. Peptide drugs occupy a middle space between proteins and small molecules and it is hoped that they can target "undruggable" intracellular protein-protein interactions. Peptidomimetics, the compounds that mimic the biologic characteristics of peptides, present refined pharmacokinetic properties compared to the original peptides. Here, the elaborated techniques that are developed to characterize the amino acid sequences consistent with a specific structure and allow protein design are discussed. Moreover, the key principles and recent advances in currently introduced computational techniques for rational peptide design are spotlighted. The most advanced computational techniques developed to design novel peptidomimetics are also summarized.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 8 12%
Other 6 9%
Student > Bachelor 5 7%
Researcher 5 7%
Other 8 12%
Unknown 22 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 19%
Chemistry 8 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Agricultural and Biological Sciences 4 6%
Computer Science 3 4%
Other 13 19%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Drug Design, Development and Therapy
#1,105
of 2,268 outputs
Outputs of similar age
#219,253
of 339,234 outputs
Outputs of similar age from Drug Design, Development and Therapy
#23
of 58 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.