scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bioinformatics/MullerGHS17 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTX285 |
P698 | PubMed publication ID | 28472272 |
P50 | author | Gisbert Schneider | Q51615601 |
Jan Alexander Hiss | Q56427764 | ||
Alex T Müller | Q57209542 | ||
P2093 | author name string | Gisela Gabernet | |
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P433 | issue | 17 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | antimicrobial peptide | Q1201508 |
P304 | page(s) | 2753-2755 | |
P577 | publication date | 2017-05-04 | |
P1433 | published in | Bioinformatics | Q4914910 |
P1476 | title | modlAMP: Python for antimicrobial peptides | |
P478 | volume | 33 |
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Q96950535 | HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks |
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