scholarly journals Plant Antimicrobial Peptides: State of the Art, In Silico Prediction and Perspectives in the Omics Era

2020 ◽  
Vol 14 ◽  
pp. 117793222095273 ◽  
Author(s):  
Carlos André dos Santos-Silva ◽  
Luisa Zupin ◽  
Marx Oliveira-Lima ◽  
Lívia Maria Batista Vilela ◽  
João Pacifico Bezerra-Neto ◽  
...  

Even before the perception or interaction with pathogens, plants rely on constitutively guardian molecules, often specific to tissue or stage, with further expression after contact with the pathogen. These guardians include small molecules as antimicrobial peptides (AMPs), generally cysteine-rich, functioning to prevent pathogen establishment. Some of these AMPs are shared among eukaryotes (eg, defensins and cyclotides), others are plant specific (eg, snakins), while some are specific to certain plant families (such as heveins). When compared with other organisms, plants tend to present a higher amount of AMP isoforms due to gene duplications or polyploidy, an occurrence possibly also associated with the sessile habit of plants, which prevents them from evading biotic and environmental stresses. Therefore, plants arise as a rich resource for new AMPs. As these molecules are difficult to retrieve from databases using simple sequence alignments, a description of their characteristics and in silico (bioinformatics) approaches used to retrieve them is provided, considering resources and databases available. The possibilities and applications based on tools versus database approaches are considerable and have been so far underestimated.

2008 ◽  
Vol 43 (8) ◽  
pp. 1581-1592 ◽  
Author(s):  
Stefanie Bendels ◽  
Manfred Kansy ◽  
Björn Wagner ◽  
Jörg Huwyler

2019 ◽  
Vol 63 (12) ◽  
pp. 6499-6512 ◽  
Author(s):  
Suqing Zheng ◽  
Yibing Wang ◽  
Wenxin Liu ◽  
Wenping Chang ◽  
Guang Liang ◽  
...  

2021 ◽  
pp. e00804
Author(s):  
Raphael Taiwo Aruleba ◽  
Marius Belmondo Tincho ◽  
Ashley Pretorius ◽  
Abidemi Paul Kappo

MedChemComm ◽  
2017 ◽  
Vol 8 (6) ◽  
pp. 1225-1234 ◽  
Author(s):  
Hongbin Yang ◽  
Xiao Li ◽  
Yingchun Cai ◽  
Qin Wang ◽  
Weihua Li ◽  
...  

Multi-classification models were developed for prediction of subcellular localization of small molecules by machine learning methods.


2019 ◽  
Author(s):  
Madhumita Rano ◽  
Sumanta K Ghosh ◽  
Debashree Ghosh

<div>Combining the roles of spin frustration and geometry of odd and even numbered rings in polyaromatic hydrocarbons (PAHs), we design small molecules that show exceedingly small singlet-triplet gaps and stable triplet ground states. Furthermore, a computationally efficient protocol with a model spin Hamiltonian is shown to be capable of qualitative agreement with respect to high level multireference calculations and therefore, can be used for fast molecular discovery and screening.</div>


2019 ◽  
Vol 28 (1) ◽  
Author(s):  
Anupam Barh ◽  
V P Sharma ◽  
Shwet Kamal ◽  
Mahantesh Shirur ◽  
Sudheer Kumar Annepu ◽  
...  

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