THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning

(2022) Lesong Wei et al.   BIOINFORMATICS

Computational analysis and prediction of PE_PGRS proteins using machine learning

(2022) Fuyi Li et al.   Computational and Structural Biotechnology Journal

Potential regulatory role of epigenetic RNA methylation in cardiovascular diseases

(2021) Sumra Komal et al.   BIOMEDICINE & PHARMACOTHERAPY

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism

(2021) Lesong Wei et al.   BRIEFINGS IN BIOINFORMATICS

Integrative machine learning framework for the identification of cell-specific enhancers from the human genome

(2021) Shaherin Basith et al.   BRIEFINGS IN BIOINFORMATICS

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction

(2021) Shaherin Basith et al.   BRIEFINGS IN BIOINFORMATICS

RNA modifications in cardiovascular diseases, the potential therapeutic targets

(2021) Yirong Wu et al.   LIFE SCIENCES

iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice

(2021) Hao Lv et al.   BRIEFINGS IN BIOINFORMATICS

m7G-DLSTM: Intergrating directional Double-LSTM and fully connected network for RNA N7-methlguanosine sites prediction in human

(2021) Qiao Ning et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information

(2021) Adeel Malik et al.   Computational and Structural Biotechnology Journal

m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human

(2020) Bowen Song et al.   BIOINFORMATICS

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

(2020) Md Mehedi Hasan et al.   BIOINFORMATICS

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework

(2020) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy

(2020) Ruopeng Xie et al.   BRIEFINGS IN BIOINFORMATICS

Supervised enhancer prediction with epigenetic pattern recognition and targeted validation

(2020) Anurag Sethi et al.   NATURE METHODS

m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome

(2020) Yujiao Tang et al.   NUCLEIC ACIDS RESEARCH

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification

(2020) Xiao Liang et al.   BRIEFINGS IN BIOINFORMATICS

Computational prediction of species-specific yeast DNA replication origin via iterative feature representation

(2020) Balachandran Manavalan et al.   BRIEFINGS IN BIOINFORMATICS

Critical evaluation of web-based DNA N6-methyladenine site prediction tools

(2020) Md Mehedi Hasan et al.   Briefings in Functional Genomics

An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

(2020) Yue Bi et al.   Molecular Therapy-Nucleic Acids

Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools

(2020) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

Iterative feature representations improve N4-methylcytosine site prediction

(2019) Leyi Wei et al.   BIOINFORMATICS

Transcriptome-wide Mapping of Internal N7-Methylguanosine Methylome in Mammalian mRNA

(2019) Li-Sheng Zhang et al.   MOLECULAR CELL

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

Dynamic methylome of internal mRNA N7-methylguanosine and its regulatory role in translation

(2019) Lionel Malbec et al.   CELL RESEARCH

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

Mettl1/Wdr4-Mediated m 7 G tRNA Methylome Is Required for Normal mRNA Translation and Embryonic Stem Cell Self-Renewal and Differentiation

(2018) Shuibin Lin et al.   MOLECULAR CELL

AlkAniline-Seq: Profiling of m7 G and m3 C RNA Modifications at Single Nucleotide Resolution

(2018) Virginie Marchand et al.   ANGEWANDTE CHEMIE-INTERNATIONAL EDITION

Discovery of m7G-cap in eukaryotic mRNAs

(2015) Yasuhiro FURUICHI   PROCEEDINGS OF THE JAPAN ACADEMY SERIES B-PHYSICAL AND BIOLOGICAL SCIENCES

Regulation of mRNA cap methylation

(2009) Victoria H. Cowling   BIOCHEMICAL JOURNAL

A new mouse model for the trisomy of the Abcg1–U2af1 region reveals the complexity of the combinatorial genetic code of down syndrome

(2009) Patricia Lopes Pereira et al.   HUMAN MOLECULAR GENETICS

Specific regulation of mRNA cap methylation by the c-Myc and E2F1 transcription factors

(2009) M D Cole et al.   ONCOGENE