Related references
Note: Only part of the references are listed.De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update
Eugene Lin et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2022)
PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling
Jayadev Joshi et al.
BMC BIOINFORMATICS (2022)
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology
Xuhan Liu et al.
JOURNAL OF CHEMINFORMATICS (2021)
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
Payel Das et al.
NATURE BIOMEDICAL ENGINEERING (2021)
PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction
Scott N. Dean et al.
FRONTIERS IN MICROBIOLOGY (2021)
AMPGAN v2: Machine Learning-Guided Design of Antimicrobial Peptides
Colin M. Van Oort et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2021)
Deep Learning for Novel Antimicrobial Peptide Design
Christina Wang et al.
BIOMOLECULES (2021)
A novel antibacterial peptide recognition algorithm based on BERT
Yue Zhang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics
Malak Pirtskhalava et al.
NUCLEIC ACIDS RESEARCH (2021)
In Silico Screening-Based Discovery of Novel Inhibitors of Human Cyclic GMP-AMP Synthase: A Cross-Validation Study of Molecular Docking and Experimental Testing
Wenfeng Zhao et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2020)
Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning
Jielu Yan et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2020)
Variational Autoencoder for Generation of Antimicrobial Peptides
Scott N. Dean et al.
ACS OMEGA (2020)
Correlation between hemolytic activity, cytotoxicity and systemic in vivo toxicity of synthetic antimicrobial peptides
Ines Greco et al.
SCIENTIFIC REPORTS (2020)
D- and Unnatural Amino Acid Substituted Antimicrobial Peptides With Improved Proteolytic Resistance and Their Proteolytic Degradation Characteristics
Jianguang Lu et al.
FRONTIERS IN MICROBIOLOGY (2020)
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts
Yiping Liu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)
Operators in quantum machine learning: Response properties in chemical space
Anders S. Christensen et al.
JOURNAL OF CHEMICAL PHYSICS (2019)
Simulation-Guided Rational de Novo Design of a Small Pore-Forming Antimicrobial Peptide
Charles H. Chen et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2019)
An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies
Yuan Lin et al.
BMC BIOINFORMATICS (2019)
A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies
Yiping Liu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
UniProt: a worldwide hub of protein knowledge
Alex Bateman et al.
NUCLEIC ACIDS RESEARCH (2019)
Chemical-genetic profiling reveals limited cross-resistance between antimicrobial peptides with different modes of action
Balint Kintses et al.
NATURE COMMUNICATIONS (2019)
De Novo Design and In Vitro Testing of Antimicrobial Peptides against Gram-Negative Bacteria
Boris Vishnepolsky et al.
PHARMACEUTICALS (2019)
Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria
Deepesh Nagarajan et al.
JOURNAL OF BIOLOGICAL CHEMISTRY (2018)
Deep learning improves antimicrobial peptide recognition
Daniel Veltri et al.
BIOINFORMATICS (2018)
Designing improved active peptides for therapeutic approaches against infectious diseases
Barbara Gomes et al.
BIOTECHNOLOGY ADVANCES (2018)
Recurrent Neural Network Model for Constructive Peptide Design
Alex T. Mueller et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2018)
In silico approaches for predicting the half-life of natural and modified peptides in blood
Deepika Mathur et al.
PLOS ONE (2018)
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
Pratiti Bhadra et al.
SCIENTIFIC REPORTS (2018)
Using Evolutionary Algorithms and Machine Learning to Explore Sequence Space for the Discovery of Antimicrobial Peptides
Mari Yoshida et al.
CHEM (2018)
A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems
Yiping Liu et al.
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XV, PT I (2018)
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications
Xiaodong Li et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)
Diversity Assessment in Many-Objective Optimization
Handing Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Antibiotic resistance
Marianne Frieri et al.
JOURNAL OF INFECTION AND PUBLIC HEALTH (2017)
De novo synthetic short antimicrobial peptides against cariogenic bacteria
Yufei Wang et al.
ARCHIVES OF ORAL BIOLOGY (2017)
APD3: the antimicrobial peptide database as a tool for research and education
Guangshun Wang et al.
NUCLEIC ACIDS RESEARCH (2016)
MOMMOP: Multiobjective Optimization for Locating Multiple Optimal Solutions of Multimodal Optimization Problems
Yong Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Consensus Scoring Approach To Identify the Inhibitors of AMP-Activated Protein Kinase α2 with Virtual Screening
Hwangseo Park et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2014)
AVPdb: a database of experimentally validated antiviral peptides targeting medically important viruses
Abid Qureshi et al.
NUCLEIC ACIDS RESEARCH (2014)
iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
Xuan Xiao et al.
ANALYTICAL BIOCHEMISTRY (2013)
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
Kalyanmoy Deb et al.
EVOLUTIONARY COMPUTATION (2012)
Optimization of Antibacterial Peptides by Genetic Algorithms and Cheminformatics
Christopher D. Fjell et al.
CHEMICAL BIOLOGY & DRUG DESIGN (2011)
De Novo Design of Antimicrobial Polymers, Foldamers, and Small Molecules: From Discovery to Practical Applications
Gregory N. Tew et al.
ACCOUNTS OF CHEMICAL RESEARCH (2010)
Antimicrobial properties of hemokinin-1 against strains of Pseudomonas aeruginosa
Alexandra Berger et al.
LIFE SCIENCES (2009)
De novo designed synthetic mimics of antimicrobial peptides
Richard W. Scott et al.
CURRENT OPINION IN BIOTECHNOLOGY (2008)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
Natural expansion of the genetic code
Alexandre Ambrogelly et al.
NATURE CHEMICAL BIOLOGY (2007)
Antibacterial peptides for therapeutic use: obstacles and realistic outlook
Alexandra K. Marr et al.
CURRENT OPINION IN PHARMACOLOGY (2006)
Recovering the true targets of specific ligands by virtual screening of the Protein Data Bank
N Paul et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2004)
Cationic antimicrobial peptides - Issues for potential clinical use
JP Bradshaw
BIODRUGS (2003)
How to make large self-organizing maps for nonvectorial data
T Kohonen et al.
NEURAL NETWORKS (2002)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
Share Paper
