RG-10 / Protein-Functions-Prediction

🧬Protein Functions Prediction through Amino Acids Sequences🧬

🧬Protein Function Prediction through Amino Acid Sequences🧬

Usama Raheem |

Goal🧬

Classification of protein function based on their sequences.

The protein function which the project focusses is the ATP binding.

Data collection🧬

Data scraping was performed on several protein sequence and their function from biological databases mainly Unitprot.

data-scrapes contains the sequence in the fasta format and annotation of the various proteins.

Approach🧬

The sequence of the protein were augmented after 500 residues. The sequences, which had lower length were artifically padded with '_'. We used Artifical Neural Network (ANN) to classify the protein function (obtained after hyperparameter tuninng) :

Method	Numbers
ANN	2/3 layers
Embedding dim	10
Sequence length	23
Optimizer	Stochastic Gradient Descent (SGD)
Loss	Binary crossentropy
Nodes	128
Batch size	128
Learning Rate	0.001
Accuracy Score	0.80