modlAMP: Python for antimicrobial peptides

scientific article

modlAMP: Python for antimicrobial peptides is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/MullerGHS17
P356DOI10.1093/BIOINFORMATICS/BTX285
P698PubMed publication ID28472272

P50authorGisbert SchneiderQ51615601
Jan Alexander HissQ56427764
Alex T MüllerQ57209542
P2093author name stringGisela Gabernet
P2860cites workIdentifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival ForestsQ22673963
Biopython: freely available Python tools for computational molecular biology and bioinformaticsQ24643426
A simple method for displaying the hydropathic character of a proteinQ26778481
Comparison of the predicted and observed secondary structure of T4 phage lysozymeQ29398301
Prediction of protein antigenic determinants from amino acid sequencesQ29547548
CAMP: Collection of sequences and structures of antimicrobial peptidesQ30414213
QSAR modeling and computer-aided design of antimicrobial peptidesQ33298522
The helical hydrophobic moment: a measure of the amphiphilicity of a helixQ34056948
Scrutinizing MHC-I binding peptides and their limits of variationQ34765261
Antimicrobial peptides design by evolutionary multiobjective optimizationQ34987966
APD3: the antimicrobial peptide database as a tool for research and educationQ36434966
Sparse Neural Network Models of Antimicrobial Peptide-Activity RelationshipsQ39168417
An amino acid "transmembrane tendency" scale that approaches the theoretical limit to accuracy for prediction of transmembrane helices: relationship to biological hydrophobicityQ41837991
Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteinsQ42660547
Conformational preferences of amino acids in globular proteinsQ44870543
Computational design of highly selective antimicrobial peptides.Q45918176
Topological shape and size of peptides: identification of potential allele specific helper T cell antigenic sitesQ47268028
New chemical descriptors relevant for the design of biologically active peptides. A multivariate characterization of 87 amino acidsQ47893213
Tools for Designing Amphipathic Helical Antimicrobial PeptidesQ48031478
Peptide quantitative structure-activity relationships, a multivariate approach.Q52593475
The characterization of amino acid sequences in proteins by statistical methodsQ53019602
Support-vector networksQ55922708
The NumPy Array: A Structure for Efficient Numerical ComputationQ57317251
Ez, a Depth-dependent Potential for Assessing the Energies of Insertion of Amino Acid Side-chains into Membranes: Derivation and Applications to Determining the Orientation of Transmembrane and Interfacial HelicesQ57837597
P433issue17
P407language of work or nameEnglishQ1860
P921main subjectantimicrobial peptideQ1201508
P304page(s)2753-2755
P577publication date2017-05-04
P1433published inBioinformaticsQ4914910
P1476titlemodlAMP: Python for antimicrobial peptides
P478volume33

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cites work (P2860)
Q63353634De novo design of anticancer peptides by ensemble artificial neural networks
Q64066125Encodings and models for antimicrobial peptide classification for multi-resistant pathogens
Q64287532Epinecidin-1, a highly potent marine antimicrobial peptide with anticancer and immunomodulatory activities
Q99584782Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks
Q96950535HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks
Q92377294In silico design and optimization of selective membranolytic anticancer peptides
Q100464810Machine learning-guided discovery and design of non-hemolytic peptides
Q58717273Membrane Active Peptides and Their Biophysical Characterization
Q91768119Murine xenograft bioreactors for human immunopeptidome discovery
Q98895837Variational Autoencoder for Generation of Antimicrobial Peptides

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