Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Transformer-based deep learning for predicting protein properties in the life sciences
Recent developments in deep learning, coupled with an increasing number of sequenced
proteins, have led to a breakthrough in life science applications, in particular in protein …
proteins, have led to a breakthrough in life science applications, in particular in protein …
Plant genome and transcriptome annotations: from misconceptions to simple solutions
Next-generation sequencing has triggered an explosion of available genomic and
transcriptomic resources in the plant sciences. Although genome and transcriptome …
transcriptomic resources in the plant sciences. Although genome and transcriptome …
Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models
Cell-penetrating peptides, a group of short peptides, can traverse cell membranes to enter
cells and thus facilitate the uptake of various molecular cargoes. Thus, they have the …
cells and thus facilitate the uptake of various molecular cargoes. Thus, they have the …
Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences
The post-translational modifications occur as crucial molecular regulatory mechanisms
utilized to regulate diverse cellular processes. Malonylation of proteins, a reversible post …
utilized to regulate diverse cellular processes. Malonylation of proteins, a reversible post …
Computational methods and online resources for identification of piRNA-related molecules
Y Liu, A Li, G **e, G Liu, X Hei - Interdisciplinary sciences: computational …, 2021 - Springer
Abstract piRNAs are a class of small non-coding RNA molecules, which interact with the
PIWI family and have many important and diverse biological functions. The present review is …
PIWI family and have many important and diverse biological functions. The present review is …
An evaluation of deep neural network performance on limited protein phosphorylation site prediction data
One of the common and important post-translational modification (PTM) types is
phosphorylation. Protein phosphorylation is used to regulate various enzyme and receptor …
phosphorylation. Protein phosphorylation is used to regulate various enzyme and receptor …
RF‐Phos: A novel general phosphorylation site prediction tool based on random Forest
HD Ismail, A Jones, JH Kim… - BioMed research …, 2016 - Wiley Online Library
Protein phosphorylation is one of the most widespread regulatory mechanisms in
eukaryotes. Over the past decade, phosphorylation site prediction has emerged as an …
eukaryotes. Over the past decade, phosphorylation site prediction has emerged as an …
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network
E Khalili, S Ramazi, F Ghanati… - Briefings in …, 2022 - academic.oup.com
Phosphorylation of proteins is one of the most significant post-translational modifications
(PTMs) and plays a crucial role in plant functionality due to its impact on signaling, gene …
(PTMs) and plays a crucial role in plant functionality due to its impact on signaling, gene …
Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest
Reversible protein phosphorylation is one of the most important post-translational
modifications, which regulates various biological cellular processes. Identification of the …
modifications, which regulates various biological cellular processes. Identification of the …
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets
The rise of high-throughput experiments has transformed how scientists approach biological
questions. The ubiquity of large-scale assays that can test thousands of samples in a day …
questions. The ubiquity of large-scale assays that can test thousands of samples in a day …