Application of bioinformatics and molecular dynamics simulation approaches for identification of fibroblast growth factor 10 analogues with potentially improved thermostability
Application of bioinformatics and molecular dynamics simulation approaches for identification of fibroblast growth factor 10 analogues with potentially improved thermostability
نویسندگان: علی اکبر علیزاده , سیاوش دستمالچی
کلمات کلیدی: KEYWORDS
FGF10; bioinformatics;
virtual mutagenesis;
thermal stability; molecular
dynamics simulation;
binding energy calculation
نشریه: 13178 , 3-4 , 38 , 2021
| نویسنده ثبت کننده مقاله |
علی اکبر علیزاده |
| مرحله جاری مقاله |
تایید نهایی |
| دانشکده/مرکز مربوطه |
مرکز تحقیقات بیوتکنولوژی(زیست فناوری) |
| کد مقاله |
76238 |
| عنوان فارسی مقاله |
Application of bioinformatics and molecular dynamics simulation approaches for identification of fibroblast growth factor 10 analogues with potentially improved thermostability |
| عنوان لاتین مقاله |
Application of bioinformatics and molecular dynamics simulation approaches for identification of fibroblast growth factor 10 analogues with potentially improved thermostability |
| ناشر |
3 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ |
بلی |
| عنوان نشریه (خارج از لیست فوق) |
|
| نوع مقاله |
Original Article |
| نحوه ایندکس شدن مقاله |
ایندکس شده سطح یک – ISI - Web of Science |
| آدرس لینک مقاله/ همایش در شبکه اینترنت |
|
| Fibroblast growth factor 10 functions as a paracrine mesenchymal molecule to initiate signalling
pathways regarding to cellular development and health. However, the low thermal stability
restricts it’s functionality in the human body and the shelf-life of FGF10-based formulations. The
current study aimed to employ rational design and bioinformatics approaches to identify some
point mutations which may improve the thermal stability of FGF10. Bioinformatics analyses
resulted in N105D, C106F, K144R, K153M and I156R as the potential stability conferring mutations. The identified mutants were subjected to MD simulation indicating that all mutations are
both structurally and energetically favoured. Finally, the effects of the identified mutations on
receptor binding of FGF10 were predicted and the results showed that K144R and K153M mutations may increase the binding affinity relative to the wild type. The findings of the current
study propose potentially improved FGF10 analogues for further experimental investigations. |
| نام فایل |
تاریخ درج فایل |
اندازه فایل |
دانلود |
| Application of bioinformatics and molecular dynamics simulation approaches for identification of fibroblast growth factor 10 analogues with.pdf | 1400/04/13 | 3682248 | دانلود |
| growth_factors.pdf | 1400/04/13 | 81116 | دانلود |