- Home
- Publications
- Publication Search
- Publication Details
Title
PPAI: a web server for predicting protein-aptamer interactions
Authors
Keywords
-
Journal
BMC BIOINFORMATICS
Volume 21, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-09
DOI
10.1186/s12859-020-03574-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5- Step Rule and General Pseudo Amino Acid Composition
- (2019) Asma Ehsan et al. CURRENT GENOMICS
- Prediction and analysis of Hub Genes in Renal Cell Carcinoma based on CFS Gene selection method combined with Adaboost algorithm
- (2019) Yina Wang et al. Medicinal Chemistry
- Classification of Power Facility Point Clouds from Unmanned Aerial Vehicles Based on Adaboost and Topological Constraints
- (2019) Yuxuan Liu et al. SENSORS
- Aptamer/photosensitizer hybridized mesoporous MnO2 based tumor cell activated ROS regulator for precise photodynamic therapy of breast cancer
- (2019) Wei Liu et al. COLLOIDS AND SURFACES B-BIOINTERFACES
- Challenging cancer targets for aptamer delivery
- (2018) Vittorio de Franciscis BIOCHIMIE
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- Towards targeted cancer therapy: Aptamer or oncolytic virus?
- (2017) Kei X. Tan et al. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
- Anti-MUC1 aptamer: A potential opportunity for cancer treatment
- (2017) Maryam Sadat Nabavinia et al. MEDICINAL RESEARCH REVIEWS
- Heterogeneity Aware Random Forest for Drug Sensitivity Prediction
- (2017) Raziur Rahman et al. Scientific Reports
- Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
- (2016) Lina Zhang et al. BMC BIOINFORMATICS
- PaPI: pseudo amino acid composition to score human protein-coding variants
- (2015) Ivan Limongelli et al. BMC BIOINFORMATICS
- Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA
- (2015) Xing Chen Scientific Reports
- iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
- (2014) Wei Chen et al. ANALYTICAL BIOCHEMISTRY
- PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions
- (2014) Wei Chen et al. BIOINFORMATICS
- Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces
- (2014) Maqsood Hayat et al. JOURNAL OF THEORETICAL BIOLOGY
- The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes
- (2014) Azra Ramezankhani et al. MEDICAL DECISION MAKING
- Prediction of Aptamer-Target Interacting Pairs with Pseudo-Amino Acid Composition
- (2014) Bi-Qing Li et al. PLoS One
- Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features
- (2013) Ya-Nan Zhang et al. BMC BIOINFORMATICS
- SMOTE for high-dimensional class-imbalanced data
- (2013) Rok Blagus et al. BMC BIOINFORMATICS
- In silico approaches for designing highly effective cell penetrating peptides
- (2013) Ankur Gautam et al. Journal of Translational Medicine
- Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou's PseAAC
- (2013) H.-L. Xie et al. PROTEIN ENGINEERING DESIGN & SELECTION
- Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments
- (2012) Jose Cruz-Toledo et al. Database-The Journal of Biological Databases and Curation
- Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences
- (2011) Tzong-Yi Lee et al. BIOINFORMATICS
- Prediction of Cell Penetrating Peptides by Support Vector Machines
- (2011) William S. Sanders et al. PLoS Computational Biology
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started