Back

Horizontal detection of post-translational modifications to an amino acid with a nanopore based on analyte volume and translocation-time

Sampath, G.

2022-09-30 bioengineering
10.1101/2022.09.28.507994 bioRxiv
Show abstract

A method is proposed for the detection of post-translational modifications (PTMs) in single amino acids (AAs) for three types of PTMs (methylation, acetylation, and phosphorylation). It is preceded by a precursor step in which the terminal residue cleaved from a peptide is identified with a set of transfer RNAs (tRNAs) in a method proposed earlier (doi: 10.36227/techrxiv.19318145.v3). The identified AA (unmodified or modified) is separated from its cognate tRNA and translocated through a nanopore under electrophoresis. The resulting current blockade level (a proxy for analyte volume) and its width (a proxy for analyte translocation time) are measured and used to identify any PTM that might be present. The theoretical volumes of the 20 proteinogenic AAs and their PTMs are computed from crystallographic data and the ratio of the volume of a modified AA to that of an unmodified one obtained. The theoretical translocation time for the 20 AAs and their PTMs through a nanopore with a bilevel voltage profile is calculated with a Fokker-Planck drift-diffusion model. A 2-D scatter plot with these two quantities is generated for each AA type. Experimentally measured blockade levels and widths for an AA, modified or unmodified, can now be compared with the AAs scatter plot to assign a PTM for a modified AA. PTM assignment is horizontal across the PTMs for the AA because the latter has already been identified from its cognate tRNA in the precursor step, the other 19 AA types and their PTMs are not involved. Computational results are presented for 49 PTMs covering all 20 AAs and the three PTM types mentioned above.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 11%
15.7%
2
Methods
34 papers in training set
Top 0.1%
13.5%
3
International Journal of Molecular Sciences
494 papers in training set
Top 0.4%
8.2%
4
Scientific Reports
3612 papers in training set
Top 9%
7.0%
5
Analytical Biochemistry
26 papers in training set
Top 0.1%
4.2%
6
Analytical and Bioanalytical Chemistry
18 papers in training set
Top 0.1%
3.4%
50% of probability mass above
7
Sensors
43 papers in training set
Top 0.4%
2.9%
8
Frontiers in Molecular Biosciences
102 papers in training set
Top 0.4%
2.2%
9
PLOS Computational Biology
1863 papers in training set
Top 14%
1.8%
10
Bioinformatics
1204 papers in training set
Top 7%
1.8%
11
Computers in Biology and Medicine
128 papers in training set
Top 2%
1.8%
12
ACS Omega
105 papers in training set
Top 1%
1.8%
13
Analytical Chemistry
218 papers in training set
Top 2%
1.2%
14
Biophysical Journal
631 papers in training set
Top 3%
1.2%
15
Computational and Structural Biotechnology Journal
242 papers in training set
Top 4%
1.2%
16
Royal Society Open Science
214 papers in training set
Top 5%
1.1%
17
Computer Methods and Programs in Biomedicine
28 papers in training set
Top 0.8%
1.1%
18
SoftwareX
15 papers in training set
Top 0.2%
0.9%
19
Journal of the American Society for Mass Spectrometry
37 papers in training set
Top 0.5%
0.9%
20
Briefings in Bioinformatics
354 papers in training set
Top 7%
0.9%
21
Talanta
14 papers in training set
Top 0.3%
0.9%
22
Journal of Chemical Information and Modeling
238 papers in training set
Top 2%
0.9%
23
Pharmaceuticals
34 papers in training set
Top 1%
0.9%
24
Communications Chemistry
48 papers in training set
Top 1%
0.9%
25
NAR Genomics and Bioinformatics
242 papers in training set
Top 5%
0.6%
26
Biochimica et Biophysica Acta (BBA) - Biomembranes
36 papers in training set
Top 0.4%
0.6%
27
Synthetic and Systems Biotechnology
11 papers in training set
Top 0.2%
0.6%
28
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 3%
0.5%
29
F1000Research
88 papers in training set
Top 5%
0.5%
30
International Journal of Biological Macromolecules
76 papers in training set
Top 3%
0.5%