MCNN_MC: Computational Prediction of Mitochondrial Carriers and Investigation of Bongkrekic Acid Toxicity Using Protein Language Models and Convolutional …
Mitochondrial carriers (MCs) are essential proteins that transport metabolites across
mitochondrial membranes and play a critical role in cellular metabolism. ADP/ATP …
mitochondrial membranes and play a critical role in cellular metabolism. ADP/ATP …
ATP_mCNN: Predicting ATP binding sites through pretrained language models and multi-window neural networks
Adenosine triphosphate plays a vital role in providing energy and enabling key cellular
processes through interactions with binding proteins. The increasing amount of protein …
processes through interactions with binding proteins. The increasing amount of protein …
mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows
Glucose transporters are essential carrier proteins that function on the phospholipid bilayer
to facilitate glucose diffusion across cell membranes. The transporters play many …
to facilitate glucose diffusion across cell membranes. The transporters play many …
VesiMCNN: Using pre-trained protein language models and multiple window scanning convolutional neural networks to identify vesicular transport proteins
Vesicular transport is a critical cellular process responsible for the proper organization and
functioning of eukaryotic cells. This mechanism relies on specialized vesicles that shuttle …
functioning of eukaryotic cells. This mechanism relies on specialized vesicles that shuttle …
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 …
MCNN-AAPT: accurate classification and functional prediction of amino acid and peptide transporters in secondary active transporters using protein language models …
Secondary active transporters play a crucial role in cellular physiology by facilitating the
movement of molecules across cell membranes. Identifying the functional classes of these …
movement of molecules across cell membranes. Identifying the functional classes of these …
[PDF][PDF] Artificial intelligence and Computer-Aided Drug Discovery: Methods Development and Application
H Zhang, Y Wei, KM Saravanan… - Methods (San Diego …, 2024 - researchgate.net
Artificial intelligence (AI) has become influential in drug discovery, transforming conventional
approaches and enabling novel solutions. Incorporating AI into drug discovery procedures …
approaches and enabling novel solutions. Incorporating AI into drug discovery procedures …