scholarly journals Unravelling peptidomes by in silico mining

Peptidomics ◽  
2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Johannes Koehbach ◽  
Kathryn A.V. Jackson

AbstractPeptides of great number and diversity occur in all domains of life and exhibit a range of pharmaceutically relevant bioactivities. The complexity of biological samples including human cells or tissues, plant extracts or animal venom cocktails, often impedes the discovery of novel bioactive peptides using mass spectrometrybased peptidomics analysis. An increasing number of publicly available genome and transcriptome datasets, together with refined bioinformatics analysis, allows for rapid identification of novel peptides which may have been previously unrecognized. Moreover, a combination of information extracted from

Plant Gene ◽  
2021 ◽  
Vol 26 ◽  
pp. 100278
Author(s):  
Pallavi Mishra ◽  
A.N. Tripathi ◽  
Sarvesh P. Kashyap ◽  
Mohd Aamir ◽  
Kavindra N. Tiwari ◽  
...  

2021 ◽  
Vol 21 (12) ◽  
pp. 615-625
Author(s):  
Ayse Kose

Seaweeds are one of the ancient food supplements on Earth. Especially Asian countries use seaweeds as the fundamental ingredient in their cuisine. Seaweeds are photosynthetic organisms living in aquatic ecosystems and in the coastal territories. Seaweeds out of farm areas are frequently observed as coastal wastes. However, seaweeds are outstanding sources for bioactive substances and investigation bioactive properties of seaweed RuBisCO has never been done. RuBisCO is the most abundant protein on Earth but a vast amount of RuBisCO goes through waste. In this study, bioactive peptide prediction of frequently consumed seaweed RuBisCO proteins were analyzed in silico to identify possible bioactive peptides as substitute or support for grain, meat, and dairy based bioactive peptides. A huge portion of peptides were di-, tri- peptides with IC50 values less than 300 µM according to the comparison of BIOPEP database. Including gastric digestion, more than half of the peptides showed DDP-IV and ACE inhibitory activity followed by antioxidant properties. Also, novel antiinflammatory and anti-cancer peptides were found through in silico analysis.


2021 ◽  
Author(s):  
Peiguo Shi ◽  
Michael R Murphy ◽  
Alexis O Aparicio ◽  
Jordan S Kesner ◽  
Zhou Fang ◽  
...  

While single-cell sequencing has allowed rapid identification of novel cell types or states and associated RNA markers, functional studies remain challenging due to the lack of tools that are able to target specific cells based on these markers. Here we show that targeting a single marker RNA with CRISPR/RfxCas13d led to collateral transcriptome destruction in human cells, which can be harnessed to inhibit cell proliferation or to suppress cell state transition.


2014 ◽  
Vol 13 (1) ◽  
pp. 32-43
Author(s):  
Asokan R. ◽  
K. Roopa H. ◽  
B. Rebijith K. ◽  
H. Ranjitha H. ◽  
K. Krishna Kumar N.

2016 ◽  
Vol 7 (6) ◽  
pp. 2878-2885 ◽  
Author(s):  
Paulina Kęska ◽  
Joanna Stadnik

Selected porcine myofibrillar proteins have been assessed as potential precursors of bioactive peptides based onin silicoanalysis.


Author(s):  
К.А. РЯЗАНЦЕВА ◽  
Е.Ю. АГАРКОВА

В статье приведен обзор основных классических подходов к производству биологически активных пептидов (БП) и способы их идентификации. Показано, что традиционно используемые способы получения и анализа БП требуют значительных временных и материальных затрат, что ограничивает подробные исследования и оперативную разработку БП. Новые биоинформационные подходы in silico, используемые для идентификации, характеристики, разработки биоактивных механизмов и производства БП из пищевых белков, могут упростить получение и исследование БП, что позволит ускорить разработку функциональных продуктов с использованием БП. The article describes the main classical approaches to the production of biologically active peptides and methods for their identification. It has been shown that the traditionally used methods of obtaining and analyzing bioactive peptides (BP) are not only very costly, but also require a significant amount of time, which limits detailed research and rapid development of BP. New bioinformatic approaches in silico used for identification, characterization, development of bioactive mechanisms and production of BP from food proteins can simplify the production and study of biologically active peptides, which will speed up the development of functional products using BP.


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