Literature DB >> 32524143

RaacLogo: a new sequence logo generator by using reduced amino acid clusters.

Lei Zheng1, Dongyang Liu1, Wuritu Yang1, Lei Yang2, Yongchun Zuo1.   

Abstract

Sequence logos give a fast and concise display in visualizing consensus sequence. Protein exhibits greater complexity and diversity than DNA, which usually affects the graphical representation of the logo. Reduced amino acids perform powerful ability for simplifying complexity of sequence alignment, which motivated us to establish RaacLogo. As a new sequence logo generator by using reduced amino acid alphabets, RaacLogo can easily generate many different simplified logos tailored to users by selecting various reduced amino acid alphabets that consisted of more than 40 clustering algorithms. This current web server provides 74 types of reduced amino acid alphabet, which were manually extracted to generate 673 reduced amino acid clusters (RAACs) for dealing with protein alignment. A two-dimensional selector was proposed for easily selecting desired RAACs with underlying biology knowledge. It is anticipated that the RaacLogo web server will play more high-potential roles for protein sequence alignment, topological estimation and protein design experiments. RaacLogo is freely available at http://bioinfor.imu.edu.cn/raaclogo.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  protein design; reduced amino acid alphabets; sequence logo; web server

Year:  2021        PMID: 32524143     DOI: 10.1093/bib/bbaa096

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  11 in total

1.  RaacFold: a webserver for 3D visualization and analysis of protein structure by using reduced amino acid alphabets.

Authors:  Lei Zheng; Dongyang Liu; Yuan Alex Li; Siqi Yang; Yuchao Liang; Yongqiang Xing; Yongchun Zuo
Journal:  Nucleic Acids Res       Date:  2022-05-25       Impact factor: 19.160

2.  MetaLogo: a heterogeneity-aware sequence logo generator and aligner.

Authors:  Yaowen Chen; Zhen He; Yahui Men; Guohua Dong; Shuofeng Hu; Xiaomin Ying
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

3.  SNAREs-SAP: SNARE Proteins Identification With PSSM Profiles.

Authors:  Zixiao Zhang; Yue Gong; Bo Gao; Hongfei Li; Wentao Gao; Yuming Zhao; Benzhi Dong
Journal:  Front Genet       Date:  2021-12-20       Impact factor: 4.599

4.  Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D.

Authors:  Xiaomei Gu; Lina Guo; Bo Liao; Qinghua Jiang
Journal:  Front Genet       Date:  2021-12-01       Impact factor: 4.599

Review 5.  DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins.

Authors:  Yuxin Gong; Bo Liao; Peng Wang; Quan Zou
Journal:  Front Pharmacol       Date:  2021-11-30       Impact factor: 5.810

Review 6.  Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm.

Authors:  Ziye Zhao; Wen Yang; Yixiao Zhai; Yingjian Liang; Yuming Zhao
Journal:  Front Genet       Date:  2022-01-28       Impact factor: 4.599

Review 7.  Research progress of reduced amino acid alphabets in protein analysis and prediction.

Authors:  Yuchao Liang; Siqi Yang; Lei Zheng; Hao Wang; Jian Zhou; Shenghui Huang; Lei Yang; Yongchun Zuo
Journal:  Comput Struct Biotechnol J       Date:  2022-07-04       Impact factor: 6.155

8.  IBPred: A sequence-based predictor for identifying ion binding protein in phage.

Authors:  Shi-Shi Yuan; Dong Gao; Xue-Qin Xie; Cai-Yi Ma; Wei Su; Zhao-Yue Zhang; Yan Zheng; Hui Ding
Journal:  Comput Struct Biotechnol J       Date:  2022-08-28       Impact factor: 6.155

9.  dagLogo: An R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data.

Authors:  Jianhong Ou; Haibo Liu; Niraj K Nirala; Alexey Stukalov; Usha Acharya; Michael R Green; Lihua Julie Zhu
Journal:  PLoS One       Date:  2020-11-06       Impact factor: 3.240

10.  Identification of Disease-Related 2-Oxoglutarate/Fe (II)-Dependent Oxygenase Based on Reduced Amino Acid Cluster Strategy.

Authors:  Jian Zhou; Suling Bo; Hao Wang; Lei Zheng; Pengfei Liang; Yongchun Zuo
Journal:  Front Cell Dev Biol       Date:  2021-07-16
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