Targeting of nucleus‐encoded proteins to chloroplasts in plants

P Jarvis - New phytologist, 2008 - Wiley Online Library
Most chloroplast proteins are encoded in the nucleus and synthesized on free, cytosolic
ribosomes in precursor form. Each precursor has an amino‐terminal extension called a …

Deep learning for genomics: A concise overview

T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang… - arXiv preprint arXiv …, 2018 - arxiv.org
Advancements in genomic research such as high-throughput sequencing techniques have
driven modern genomic studies into" big data" disciplines. This data explosion is constantly …

Locating proteins in the cell using TargetP, SignalP and related tools

O Emanuelsson, S Brunak, G Von Heijne, H Nielsen - Nature protocols, 2007 - nature.com
Determining the subcellular localization of a protein is an important first step toward
understanding its function. Here, we describe the properties of three well-known N-terminal …

SUBA3: a database for integrating experimentation and prediction to define the SUB cellular location of proteins in A rabidopsis

SK Tanz, I Castleden, CM Hooper… - Nucleic acids …, 2012 - academic.oup.com
The subcellular location database for Arabidopsis proteins (SUBA3, http://suba. plantenergy.
uwa. edu. au) combines manual literature curation of large-scale subcellular proteomics …

Proteome Analysis of Arabidopsis Leaf Peroxisomes Reveals Novel Targeting Peptides, Metabolic Pathways, and Defense Mechanisms

S Reumann, L Babujee, C Ma, S Wienkoop… - The Plant …, 2007 - academic.oup.com
We have established a protocol for the isolation of highly purified peroxisomes from mature
Arabidopsis thaliana leaves and analyzed the proteome by complementary gel-based and …

Mapping metabolic and transcript temporal switches during germination in rice highlights specific transcription factors and the role of RNA instability in the germination …

KA Howell, R Narsai, A Carroll, A Ivanova… - Plant …, 2009 - academic.oup.com
Transcriptome and metabolite profiling of rice (Oryza sativa) embryo tissue during a detailed
time course formed a foundation for examining transcriptional and posttranscriptional …

LocateP: genome-scale subcellular-location predictor for bacterial proteins

M Zhou, J Boekhorst, C Francke, RJ Siezen - BMC bioinformatics, 2008 - Springer
Background In the past decades, various protein subcellular-location (SCL) predictors have
been developed. Most of these predictors, like TMHMM 2.0, SignalP 3.0, PrediSi and …

Deep learning for genomics: From early neural nets to modern large language models

T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang… - International Journal of …, 2023 - mdpi.com
The data explosion driven by advancements in genomic research, such as high-throughput
sequencing techniques, is constantly challenging conventional methods used in genomics …

Broad 4-hydroxyphenylpyruvate dioxygenase inhibitor herbicide tolerance in soybean with an optimized enzyme and expression cassette

DL Siehl, Y Tao, H Albert, Y Dong, M Heckert… - Plant …, 2014 - academic.oup.com
With an optimized expression cassette consisting of the soybean (Glycine max) native
promoter modified for enhanced expression driving a chimeric gene coding for the soybean …

The rough guide to in silico function prediction, or how to use sequence and structure information to predict protein function

M Punta, Y Ofran - PLoS computational biology, 2008 - journals.plos.org
Choosing the right function prediction tools. The vast majority of known proteins have not yet
been characterized experimentally, and there is very little that is known about their function …