Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network
RMI Kusuma, YY Ou - Journal of Molecular Graphics and Modelling, 2019 - Elsevier
Membrane proteins, the most important drug targets, account for around 30% of total
proteins encoded by the genome of living organisms. An important role of these proteins is …
proteins encoded by the genome of living organisms. An important role of these proteins is …
DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters
Motivation Efflux protein plays a key role in pumping xenobiotics out of the cells. The
prediction of efflux family proteins involved in transport process of compounds is crucial for …
prediction of efflux family proteins involved in transport process of compounds is crucial for …
DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models
Accurate classification of membrane proteins like ion channels and transporters is critical for
elucidating cellular processes and drug development. We present DeepPLM_mCNN, a …
elucidating cellular processes and drug development. We present DeepPLM_mCNN, a …
Identification of efflux proteins based on contextual representations with deep bidirectional transformer encoders
Efflux proteins are the transport proteins expressed in the plasma membrane, which are
involved in the movement of unwanted toxic substances through specific efflux pumps …
involved in the movement of unwanted toxic substances through specific efflux pumps …
Deep Learning Solutions for Protein: Recent Development and Future Directions
The prediction of protein structure has a major role in drugs design and network
pharmacology. However, complexity of the protein structure, time consumption and …
pharmacology. However, complexity of the protein structure, time consumption and …
[PDF][PDF] Reconocimiento de dıgitos escritos a mano usando aprendizaje profundo
L Jiménez, J Fonseca-Solıs - academia.edu
En este documento se compara el rendimiento de dos disenos de redes neuronales
convolucionales para clasificar dıgitos escritos a mano. Este problema permite explorar …
convolucionales para clasificar dıgitos escritos a mano. Este problema permite explorar …