RaaMLab: A MATLAB toolbox that generates amino acid groups and reduced amino acid modes

Xi, Baohang; Jin, Tao; Liu, Xiaoqing; Xu, Xinnan; He, Ping‐an; Dai, Qi

doi:10.1016/j.biosystems.2019.03.002

Cited by 3 publications

(2 citation statements)

References 66 publications

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“…In 2019, Xi et al proposed a mapping tool platform based on RAA method, RaaMLab. They organize a large database of amino acid physicochemical properties and support user-defined reduced alphabets [58] . In recent years, we successively constructed iDEF-PseRAAC, RaacLogo, RaacBook, OGFE-RAAC and other protein analysis and prediction platforms based on RAA alphabets, which enriched the application scope of RAA alphabets and emphasized the important role of simplified amino acid composition in sequence-structure–function ( Fig.…”

Section: The Classification Of Protein Function Based On Reduced Amin...mentioning

confidence: 99%

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

Liang

Yang²,

Zheng³

et al. 2022

Computational and Structural Biotechnology Journal

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Section: The Classification Of Protein Function Based On Reduced Amin...mentioning

confidence: 99%

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

Liang

Yang²,

Zheng³

et al. 2022

Computational and Structural Biotechnology Journal

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“…Genetic algorithm is an adaptive search strategy, and its principle is similar to the survival mechanism of the fittest in nature [ 61 ]. It has strong adaptability, strong independence of domain knowledge, and can carry out a large number of parallel computing.…”

Section: Methodsmentioning

confidence: 99%

Mathematical Modeling and Computational Prediction of High-Risk Types of Human Papillomaviruses

Zhang

Wang

2022

Computational and Mathematical Methods in Medicine

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Cervical cancer is one of the main causes of cancer death all over the world. Most diseases such as cervical epithelial atypical hyperplasia and invasive cervical cancer are closely related to the continuous infection of high-risk types of human papillomavirus. Therefore, the high-risk types of human papillomavirus are the key to the prevention and treatment of cervical cancer. With the accumulation of high-throughput and clinical data, the use of systematic and quantitative methods for mathematical modeling and computational prediction has become more and more important. This paper summarizes the mathematical models and prediction methods of the risk types of human papillomavirus, especially around the key steps such as feature extraction, feature selection, and prediction algorithms. We summarized and discussed the advantages and disadvantages of existing algorithms, which provides a theoretical basis for follow-up research.

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Construction of amino acids reduced alphabets from molecular descriptors for interpretation of N-carbamylase, luciferase and PI3K mutations

Suárez,

Montaño,

Suárez

2024

BioSystems

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RaaMLab: A MATLAB toolbox that generates amino acid groups and reduced amino acid modes

Cited by 3 publications

References 66 publications

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

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

Mathematical Modeling and Computational Prediction of High-Risk Types of Human Papillomaviruses

Construction of amino acids reduced alphabets from molecular descriptors for interpretation of N-carbamylase, luciferase and PI3K mutations

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