Unknown

Dataset Information

0

Looking at the carcinogenicity of human insulin analogues via the intrinsic disorder prism.


ABSTRACT: Therapeutic insulin, in its native and biosynthetic forms as well as several currently available insulin analogues, continues to be the protein of most interest to researchers. From the time of its discovery to the development of modern insulin analogues, this important therapeutic protein has passed through several stages and product generations. Beside the well-known link between diabetes and cancer risk, the currently used therapeutic insulin analogues raised serious concerns due to their potential roles in cancer initiation and/or progression. It is possible that structural variations in some of the insulin analogues are responsible for the appearance of new oncogenic species with high binding affinity to the insulin-like growth factor 1 (IGF1) receptor. The question we are trying to answer in this work is: are there any specific features of the distribution of intrinsic disorder propensity within the amino acid sequences of insulin analogues that may provide an explanation for the carcinogenicity of the altered insulin protein?

SUBMITTER: Redwan EM 

PROVIDER: S-EPMC4794765 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Looking at the carcinogenicity of human insulin analogues via the intrinsic disorder prism.

Redwan Elrashdy M EM   Linjawi Moustafa H MH   Uversky Vladimir N VN  

Scientific reports 20160317


Therapeutic insulin, in its native and biosynthetic forms as well as several currently available insulin analogues, continues to be the protein of most interest to researchers. From the time of its discovery to the development of modern insulin analogues, this important therapeutic protein has passed through several stages and product generations. Beside the well-known link between diabetes and cancer risk, the currently used therapeutic insulin analogues raised serious concerns due to their pot  ...[more]

Similar Datasets

| S-EPMC8158166 | biostudies-literature
| S-EPMC8348711 | biostudies-literature
| S-EPMC9599798 | biostudies-literature
| S-EPMC3325594 | biostudies-literature
| S-EPMC3584708 | biostudies-literature
| S-EPMC3415423 | biostudies-literature
| S-EPMC3690501 | biostudies-literature
| S-EPMC3477565 | biostudies-literature
| S-EPMC11313516 | biostudies-literature