Back

PKMYT1 is a computationally predicted target for kidney cancer

Torre, D.; Fernandez, N. F.; Ma'ayan, A.

2019-06-23 bioinformatics
10.1101/677245 bioRxiv
Show abstract

Protein Kinase Membrane Associated Tyrosine/Threonine 1 (PKMYT1) is an understudied member of the serine/threonine protein kinase family. PKMYT1 is listed as a dark kinase according to the Illuminating the Druggable Genome (IDG) target development level classification. Using a combination of bioinformatics tools that we developed, we predict that targeting PKMYT1 is potentially beneficial for treating kidney cancer.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
○ 3612 papers in training set
Top 0.2%
27.0%
Similar papers in this journal
2
Briefings in Bioinformatics
◐ 354 papers in training set
Top 2%
5.2%
Similar papers in this journal
3
iScience
○ 1154 papers in training set
Top 3%
4.4%
Similar papers in this journal
4
Bioinformatics Advances
◐ 203 papers in training set
Top 1%
4.1%
Similar papers in this journal
5
International Journal of Molecular Sciences
○ 494 papers in training set
Top 2%
4.1%
Similar papers in this journal
6
Frontiers in Bioinformatics
○ 49 papers in training set
Top 0.2%
3.2%
7
Frontiers in Oncology
○ 103 papers in training set
Top 1%
2.7%
50% of probability mass above
8
Heliyon
○ 152 papers in training set
Top 2%
2.5%
9
Bioinformatics
◐ 1204 papers in training set
Top 6%
2.5%
10
PLOS ONE
● 5266 papers in training set
Top 40%
2.4%
11
Nucleic Acids Research
◐ 1281 papers in training set
Top 7%
2.4%
12
NAR Genomics and Bioinformatics
◐ 242 papers in training set
Top 2%
2.2%
13
Nature Communications
○ 5641 papers in training set
Top 44%
1.8%
14
PLOS Computational Biology
● 1863 papers in training set
Top 14%
1.8%
15
Frontiers in Genetics
○ 230 papers in training set
Top 2%
1.8%
16
BMC Bioinformatics
○ 457 papers in training set
Top 4%
1.5%
17
Communications Biology
○ 993 papers in training set
Top 17%
1.5%
18
Cell Reports Methods
○ 165 papers in training set
Top 2%
1.5%
19
Nature Protocols
○ 33 papers in training set
Top 0.3%
1.4%
20
npj Systems Biology and Applications
○ 125 papers in training set
Top 1%
1.1%
21
PeerJ
◐ 308 papers in training set
Top 7%
1.1%
22
eLife
● 5828 papers in training set
Top 58%
1.1%
23
F1000Research
○ 88 papers in training set
Top 2%
1.1%
24
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 5%
1.1%
25
Scientific Data
○ 209 papers in training set
Top 2%
1.1%
26
Journal of Personalized Medicine
○ 28 papers in training set
Top 1%
0.9%
27
Frontiers in Pharmacology
○ 111 papers in training set
Top 3%
0.6%
28
BMC Methods
○ 15 papers in training set
Top 0.2%
0.6%
29
IEEE/ACM Transactions on Computational Biology and Bioinformatics
● 38 papers in training set
Top 1%
0.6%
30
Journal of Proteome Research
● 234 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.