This is the corresponding repository of the paper titled "ACP-MLC: A two-level prediction engine for identification of anticancer peptides and multi-label classification of their functional types"
ACP-MLC is a two-level prediction engine, in which the 1st-layer model predicts whether a query sequence is an ACP or not by the random forest algorithm, and the 2nd-layer model predicts which tissue types the sequence might target by the binary relevance algorithm.
The workflow for the prediction of ACPs by the proposed ACP-MLC is depicted in the figure below.
- The ACP-MLC software is freely available at https://www.amazon.com/clouddrive/share/dW6uIgXPXfNBCLIcMcMJiKJ9rr5aXaJAo78VgGKVKRH
- To install ACP-MLC, first extract the
EXEfile and then double-click it to launch the software.
The ACP-MLC software is for Windows operating system. Please read the manual and operate according to the instructions.
The repository is only allowed for accedemic research. Commercial usage is not granted.