TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.

ABSTRACT:

Background

Tyrosinase is an enzyme involved in melanin production in the skin. Several hyperpigmentation disorders involve the overproduction of melanin and instability of tyrosinase activity resulting in darker, discolored patches on the skin. Therefore, discovering tyrosinase inhibitory peptides (TIPs) is of great significance for basic research and clinical treatments. However, the identification of TIPs using experimental methods is generally cost-ineffective and time-consuming.

Results

Herein, a stacked ensemble learning approach, called TIPred, is proposed for the accurate and quick identification of TIPs by using sequence information. TIPred explored a comprehensive set of various baseline models derived from well-known machine learning (ML) algorithms and heterogeneo

SUBMITTER: Charoenkwan P 

PROVIDER: S-EPMC10512532 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature