标题
Cell‐penetrating peptides predictors: A comparative analysis of methods and datasets
作者
关键词
-
出版物
Molecular Informatics
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2023-09-07
DOI
10.1002/minf.202300104
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。- Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?
- (2022) César R García-Jacas et al. BRIEFINGS IN BIOINFORMATICS
- Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data
- (2022) Katarzyna Sidorczuk et al. BRIEFINGS IN BIOINFORMATICS
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
- (2021) Alexander Rives et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Highly accurate protein structure prediction with AlphaFold
- (2021) John Jumper et al. NATURE
- Accurate prediction of protein structures and interactions using a three-track neural network
- (2021) Minkyung Baek et al. SCIENCE
- Deep learning improves antimicrobial peptide recognition
- (2018) Daniel Veltri et al. BIOINFORMATICS
- Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy
- (2018) Balachandran Manavalan et al. JOURNAL OF PROTEOME RESEARCH
- Systematic characterization of autophagy-related genes during the adipocyte differentiation using public-access data
- (2018) Mahmoud Ahmed et al. Oncotarget
- KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides
- (2018) Poonam Pandey et al. JOURNAL OF PROTEOME RESEARCH
- CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency
- (2017) Leyi Wei et al. JOURNAL OF PROTEOME RESEARCH
- MLACP: machine-learning-based prediction of anticancer peptides
- (2017) Balachandran Manavalan et al. Oncotarget
- Effective Design of Multifunctional Peptides by Combining Compatible Functions
- (2016) Christian Diener et al. PLoS Computational Biology
- Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences
- (2015) Longendri Aguilera-Mendoza et al. BIOINFORMATICS
- Peptide therapeutics: Targeting the undruggable space
- (2015) Natia Tsomaia EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides
- (2015) Piyush Agrawal et al. NUCLEIC ACIDS RESEARCH
- CPPpred: prediction of cell penetrating peptides
- (2013) Thérèse A. Holton et al. BIOINFORMATICS
- In silico approaches for designing highly effective cell penetrating peptides
- (2013) Ankur Gautam et al. Journal of Translational Medicine
- CPPsite: a curated database of cell penetrating peptides
- (2012) A. Gautam et al. Database-The Journal of Biological Databases and Curation
- Prediction of Cell Penetrating Peptides by Support Vector Machines
- (2011) William S. Sanders et al. PLoS Computational Biology
- Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks
- (2010) Dimitar A. Dobchev et al. Current Computer-Aided Drug Design
- Synthetic therapeutic peptides: science and market
- (2009) Patrick Vlieghe et al. DRUG DISCOVERY TODAY
- Applications of 2D Descriptors in Drug Design: A DRAGON Tale
- (2008) Aliuska Helguera et al. CURRENT TOPICS IN MEDICINAL CHEMISTRY
- Predicting cell-penetrating peptides
- (2007) Mats Hansen et al. ADVANCED DRUG DELIVERY REVIEWS
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