A holistic approach towards a generalizable machine learning predictor of cell penetrating peptides

A New Item-Based Collaborative Filtering Algorithm to Improve the Accuracy of Prediction in Sparse Data

(2022) Wentao Zhao et al.   International Journal of Computational Intelligence Systems

MLCPP 2.0: An Updated Cell-penetrating Peptides and Their Uptake Efficiency Predictor

(2022) Balachandran Manavalan et al.   JOURNAL OF MOLECULAR BIOLOGY

Development of Neuropeptide Y and Cell-Penetrating Peptide MAP Adsorbed onto Lipid Nanoparticle Surface

(2022) Sara Silva et al.   MOLECULES

Oleyl Conjugated Histidine-Arginine Cell-Penetrating Peptides as Promising Agents for siRNA Delivery

(2022) Muhammad Imran Sajid et al.   Pharmaceutics

Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space

(2021) Ewerton Cristhian Lima de Oliveira et al.   Scientific Reports

Cell-penetrating peptides in protein mimicry and cancer therapeutics

(2021) Matjaž Zorko et al.   ADVANCED DRUG DELIVERY REVIEWS

Emerging landscape of cell-penetrating peptide-mediated nucleic acid delivery and their utility in imaging, gene-editing, and RNA-sequencing

(2021) Jingping Geng et al.   JOURNAL OF CONTROLLED RELEASE

StackCPPred: A Stacking and Pairwise Energy Content-based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency

(2020) Xiangzheng Fu et al.   BIOINFORMATICS

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Cross-Validation for Correlated Data

(2020) Assaf Rabinowicz et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

DaxibotulinumtoxinA for Injection for the Treatment of Glabellar Lines

(2019) Jean D. Carruthers et al.   PLASTIC AND RECONSTRUCTIVE SURGERY

Correlation Coefficients

(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy

(2018) Balachandran Manavalan et al.   JOURNAL OF PROTEOME RESEARCH

Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues

(2018) Vinod Kumar et al.   Frontiers in Microbiology

A New Representation in PSO for Discretization-Based Feature Selection

(2018) Binh Tran et al.   IEEE Transactions on Cybernetics

Machine Learning To Predict Cell-Penetrating Peptides for Antisense Delivery

(2018) Justin M. Wolfe et al.   ACS Central Science

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

KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides

(2018) Poonam Pandey et al.   JOURNAL OF PROTEOME RESEARCH

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

(2018) Ran Su et al.   BRIEFINGS IN BIOINFORMATICS

CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency

(2017) Leyi Wei et al.   JOURNAL OF PROTEOME RESEARCH

Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation

(2016) Gloria M. Sheynkman et al.   Annual Review of Analytical Chemistry

Prediction of cell-penetrating peptides with feature selection techniques

(2016) Hua Tang et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models

(2015) Lei Chen et al.   AMINO ACIDS

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

CD-HIT Suite: a web server for clustering and comparing biological sequences

(2010) Ying Huang et al.   BIOINFORMATICS

Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks

(2010) Dimitar A. Dobchev et al.   Current Computer-Aided Drug Design

Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification

(2010) Marcin J. Mizianty et al.   KNOWLEDGE ENGINEERING REVIEW