| Title |
Pep-Calc.com: a set of web utilities for the calculation of peptide and peptoid properties and automatic mass spectral peak assignment
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, February 2016
|
| DOI | 10.1007/s10822-016-9902-7 |
| Pubmed ID | |
| Authors |
Sam Lear, Steven L. Cobb |
| Abstract |
The ability to calculate molecular properties such as molecular weights, isoelectric points, and extinction coefficients is vital for scientists using and/or synthesizing peptides and peptoids for research. A suite of two web utilities: Peptide Calculator and Peptoid Calculator, available free at http://www.pep-calc.com , are presented. Both tools allow the calculation of peptide/peptoid chemical formulae and molecular weight, ChemDraw structure file export and automatic assignment of mass spectral peaks to deletion sequences and metal/protecting group adducts. Peptide Calculator also provides a calculated isoelectric point, molar extinction coefficient, graphical peptide charge summary and β-strand contiguity profile (for aggregation-prone sequences), indicating potential regions of synthesis difficulty. In addition to the unique automatic spectral assignment features offered across both utilities, Peptoid Calculator represents a first-of-a-kind resource for researchers in the field of peptoid science. With a constantly expanding database of over 120 amino acids, non-natural peptide building blocks and peptoid building blocks, it is anticipated that Pep-Calc.com will act as a valuable asset to those working on the synthesis and/or application of peptides and peptoids in the biophysical and life sciences fields. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | <1% |
| Unknown | 107 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 15% |
| Researcher | 13 | 12% |
| Student > Bachelor | 13 | 12% |
| Student > Master | 12 | 11% |
| Other | 4 | 4% |
| Other | 16 | 15% |
| Unknown | 34 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Agricultural and Biological Sciences | 15 | 14% |
| Chemistry | 13 | 12% |
| Engineering | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 42 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 February 2017.
All research outputs
#16,188,873
of 25,584,565 outputs
Outputs from Perspectives in Drug Discovery and Design
#701
of 951 outputs
Outputs of similar age
#169,417
of 313,616 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 6 outputs
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