Grigore-Mihaita StanInstitutul Cantacuzino
Grigore-Mihaita Stan
PhD Candidate
About
3
Publications
1,543
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Introduction
Bioinformatician with a passion for data-driven insights into life sciences. Skilled in Bash, R, Python, and genomics. Also exploring nutrition to enhance health and fitness.
Skills and Expertise
Education
October 2021 - July 2024
September 2019 - July 2021
September 2019 - July 2021
Publications
Publications (3)
The paper aimed to identify in silico bioactive peptides with antioxidant and antihypertensive effects from silver carp collagen. This approach involved the use of a wide range of specialized online databases and tools to identify bioactive peptides from various protein sources. In this case, the collagen type-I alpha-1 protein sequence was extract...
Saccharomyces cerevisiae, a yeast widely used in food and beverage production, was observed to provide a valuable source of different nutrients, the most important being the bioactive peptides which can become a major supporter in pharmaceutical therapies [1]. In this paper, the main aim was to predict in silico the health effects of bioactive pept...
Due to its unique properties, the study of collagen represents a new trend in medical, pharmaceutical, and food sciences [1]. [...]
Questions
Questions (4)
Hello,
I want to ask you if you see any problem in using a script generated by CHATGPT in bioinformatics research. The script is made in R and has a few lines of code and helps me automatically extract genomes from the genbank. There are a few simple lines of code that I would probably reach if I intensively explored stackoverflow. I wanted to hear more opinions about this. How do you feel about using such AI-generated scripts for your research? Thank you!
Hello,
Does anyone know how to order a degenerate primer? Do I have to replace the nucleotides with the IUPAC letters or is the sequence sent with those letters and the company somehow synthesizes certain percentages of the corresponding nucleotides?
Thanks!
Hello,
We tried to amplify different regions (Translation elongation factor 1-alpha (tef1~600 bp) and RNA polymerase II subunit 2 (RPB2~1200 bp)) from Trichoderma, using two pairs of primers for the previously mentioned regions. The primers were degenerate and we modified certain nucleotides and then checked them in silico to have optimal conditions for the PCR reaction.
The in silico verification showed for one of the two primer pairs (tef1): hairpin, self-annealing and GC 35%, the other one passed all the primer rules. Gel electrophoresis showed for RPB2 the presence of several bands (small-100 bp and large-1200 bp) and for tef1 it showed a band at ~650 bp.
Why do we get more bands?
Hello,
I need some help. So I want to look for putative homologous structures of some organisms (for example a receptor of a protein) in the complete genome sequence of another organism (a fungus for example). Then I have to build the 3D structure of the resulting and selected proteins (by homology modeling). A few tips would help me. Thank you very much!
