Adenosine Triphosphate

Adenosine triphosphate (ATP) is a crucial molecule serving as the primary energy currency in biological systems, and its accurate measurement and prediction are vital for various applications. Current research focuses on developing computational methods, including deep learning models like convolutional neural networks (CNNs), Long Short-Term Memory networks (LSTMs), and novel attention mechanisms (e.g., linear-complexity attention), to predict ATP binding sites in proteins, estimate ATP levels in organoids from microscopic images, and improve the efficiency of natural language processing tasks related to biological data analysis. These advancements offer improved accuracy and efficiency compared to traditional methods, leading to more effective drug screening and a deeper understanding of biological processes.

Papers

March 1, 2024

ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys
Yue Niu, Saurav Prakash, Salman Avestimehr
Attention Mechanism Human Attention Attention Module Secret Key Efficient LLM Self Attention Mechanism Adenosine Triphosphate

February 2, 2024

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
Shreyas V, Swati Agarwal
Deep Learning Natural Language Processing BERT Model Protein Sequence LightGBM Model Multiple Embeddings Multi Site Adenosine Triphosphate

March 13, 2023

Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images
Xuesheng Bian, Cheng Wang, Shuting Chen, Weiquan Liu, Sen Xu, Jinxin Zhu, Rugang Wang, Zexin Chen, Min Huang, Gang Li
Deep Learning Adenosine Triphosphate Heterogeneous Organoids

August 4, 2022

ATP: A holistic attention integrated approach to enhance ABSA
Ashish Kumar, Vasundhra Dahiya, Aditi Sharan
Sentiment Analysis Constructive Approach User Sentiment Sentiment Polarity Aspect Based Sentiment Analysis Elusive Aspect Relation Augmented Attention Transformer Adenosine Triphosphate

June 2, 2022

Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics
Juan Manuel López-Correa, Caroline König, Alfredo Vellido
Long Short Term Memory LSTM Network 3D Protein Molecular Dynamic Trajectory G Protein Coupled Receptor Adenosine Triphosphate

April 19, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
Abstract Meaning Representation Dependency Parsing Semantic Annotation Semantic Role Labeling Abstract Meaning Representation to Text Adenosine Triphosphate