HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
出版年份 2020 全文链接
标题
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
作者
关键词
-
出版物
BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-03-03
DOI
10.1093/bioinformatics/btaa160
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
- (2020) Shaherin Basith et al. MEDICINAL RESEARCH REVIEWS
- MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
- (2019) Meng Zhang et al. BIOINFORMATICS
- PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning
- (2019) Leyi Wei et al. BIOINFORMATICS
- mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
- (2019) Vinothini Boopathi et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides
- (2019) Nalini Schaduangrat et al. MOLECULES
- Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
- (2019) Jie Hou et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- THPep: A machine learning-based approach for predicting tumor homing peptides
- (2019) Watshara Shoombuatong et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- TargetAntiAngio: A Sequence-Based Tool for the Prediction and Analysis of Anti-Angiogenic Peptides
- (2019) Vishuda Laengsri et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
- (2019) Balachandran Manavalan et al. Molecular Therapy-Nucleic Acids
- ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia
- (2019) V. Laengsri et al. BMC Medical Informatics and Decision Making
- ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides
- (2019) Bing Rao et al. BRIEFINGS IN BIOINFORMATICS
- A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae
- (2019) Hui Yang et al. BRIEFINGS IN BIOINFORMATICS
- Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation
- (2019) Nalini Schaduangrat et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-methylcytosine Sites in the Mouse Genome
- (2019) Manavalan et al. Cells
- iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou’s 5-Steps Rule and Informative Physicochemical Properties
- (2019) Phasit Charoenkwan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
- (2019) Shaherin Basith et al. Molecular Therapy-Nucleic Acids
- iRNA-m7G: Identifying N7-methylguanosine Sites by Fusing Multiple Features
- (2019) Wei Chen et al. Molecular Therapy-Nucleic Acids
- Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
- (2018) Jiawei Wang et al. BIOINFORMATICS
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- Therapeutic peptides: Historical perspectives, current development trends, and future directions
- (2018) Jolene L. Lau et al. BIOORGANIC & MEDICINAL CHEMISTRY
- Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy
- (2018) Balachandran Manavalan et al. JOURNAL OF PROTEOME RESEARCH
- CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
- (2018) Xiaoli Qiang et al. BRIEFINGS IN BIOINFORMATICS
- Bastion3: a two-layer ensemble predictor of type III secreted effectors
- (2018) Jiawei Wang et al. BIOINFORMATICS
- mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
- (2018) Balachandran Manavalan et al. BIOINFORMATICS
- Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
- (2018) Ran Su et al. BRIEFINGS IN BIOINFORMATICS
- HemoPred: a web server for predicting the hemolytic activity of peptides
- (2017) Thet Su Win et al. Future Medicinal Chemistry
- MLACP: machine-learning-based prediction of anticancer peptides
- (2017) Balachandran Manavalan et al. Oncotarget
- A Web Server and Mobile App for Computing Hemolytic Potency of Peptides
- (2016) Kumardeep Chaudhary et al. Scientific Reports
- Peptide therapeutics: current status and future directions
- (2015) Keld Fosgerau et al. DRUG DISCOVERY TODAY
- Recent approaches for reducing hemolytic activity of chemotherapeutic agents
- (2015) Gunjan Jeswani et al. JOURNAL OF CONTROLLED RELEASE
- Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides
- (2013) Ankur Gautam et al. NUCLEIC ACIDS RESEARCH
- Fuzzy clustering of physicochemical and biochemical properties of amino Acids
- (2011) Indrajit Saha et al. AMINO ACIDS
- Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences
- (2011) Tzong-Yi Lee et al. BIOINFORMATICS
- Synthetic therapeutic peptides: science and market
- (2009) Patrick Vlieghe et al. DRUG DISCOVERY TODAY
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