ACPred-LAF

Identification of ACPs

Please cite! If you use ACPred-LAF for research, please cite the following paper: ACPred-LAF If you have any comments, corrections or questions please contact us.

Step.1: Input sequences in fasta format

Paste your sequences(at least 200 sequences) with Fasta format below(chlick here for example)

Upload a File

Step.2: Choose operation

Sample fasta Sequence(s)

>0|1
VALALKALKKL
>1|1
KWKLFKKIKFLHSAKKF
>2|1
FAKKLAKLAKKLLAL
>3|1
GLLPCAESCVYIPCLTTVIGCSCKSKVCYKN
>4|1
SWLSKTAKKLENSAKKRISEGIAIAIQGGPR
>5|1
FALKALKK
>6|1
SQLGDLGSGAGQGGGGGGSIRAAGGAFGKLEAAREEEFFYKKQKEQLERLKNDQIHQAEFHHQQIKEHEEAIQRHKDFLNNLHK

Instructions

To use the classifier to predict the type of one or more hydrogenases from sequence, either:

paste your FASTA-formatted protein sequences into the text area, or
upload a FASTA-formatted file with your protein sequences.

Fasta must be the same format like sample (The length of the sequence must be greater than 5)

Press the "Submit" button to upload the sequences and begin the classification.

Waiting a moment and your results will be presented in web page.

Dependencies

Java 1.8.0_152
IntelliJ IDEA
Pycharm
Python 3.9
Pytorch
scikit-learn
numpy
matplotlib