Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Mahmoodi-Eshkaftaki, Mahmood, Mockaitis, Gustavo, Rafiee, Mohammad Rafie |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Improving RNA secondary structure prediction via state inference with deep recurrent neural networks
par: Willmott, Devin, et autres
Publié: (2019)
par: Willmott, Devin, et autres
Publié: (2019)
Mono- and Polyauxic Growth Kinetics: A Semi-Mechanistic Framework for Complex Biological Dynamics
par: Mockaitis, Gustavo
Publié: (2025)
par: Mockaitis, Gustavo
Publié: (2025)
CavDetect: A DBSCAN Algorithm based Novel Cavity Detection Model on Protein Structure
par: Adhikari, Swati, et autres
Publié: (2024)
par: Adhikari, Swati, et autres
Publié: (2024)
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
par: Schapin, Nikolai, et autres
Publié: (2024)
par: Schapin, Nikolai, et autres
Publié: (2024)
Methods for Analyzing RNA Pseudoknots via Chord Diagrams and Intersection Graphs
par: Ibrahim, Rayan, et autres
Publié: (2025)
par: Ibrahim, Rayan, et autres
Publié: (2025)
Assessing the potential of deep learning for protein-ligand docking
par: Morehead, Alex, et autres
Publié: (2024)
par: Morehead, Alex, et autres
Publié: (2024)
High Throughput Screening of Expression Constructs using Microcapillary Arrays
par: Singhal, Khushank, et autres
Publié: (2025)
par: Singhal, Khushank, et autres
Publié: (2025)
Corrected Hill Function in Stochastic Gene Regulatory Networks
par: Hernández-García, Manuel Eduardo, et autres
Publié: (2023)
par: Hernández-García, Manuel Eduardo, et autres
Publié: (2023)
Commutative algebra neural network reveals genetic origins of diseases
par: Wee, JunJie, et autres
Publié: (2025)
par: Wee, JunJie, et autres
Publié: (2025)
Protein folding classes -- High-dimensional geometry of amino acid composition space revisited
par: Mao, Boryeu
Publié: (2025)
par: Mao, Boryeu
Publié: (2025)
ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
par: Adamczyk, Jakub, et autres
Publié: (2024)
par: Adamczyk, Jakub, et autres
Publié: (2024)
Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning
par: Wee, JunJie, et autres
Publié: (2024)
par: Wee, JunJie, et autres
Publié: (2024)
Accurate RNA 3D structure prediction using a language model-based deep learning approach
par: Shen, Tao, et autres
Publié: (2022)
par: Shen, Tao, et autres
Publié: (2022)
Unveiling Cancer Stem Cell Marker Networks: A Hypergraph Approach
par: Margarit, David H., et autres
Publié: (2024)
par: Margarit, David H., et autres
Publié: (2024)
Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction
par: Tan, Joshua Zhi En, et autres
Publié: (2024)
par: Tan, Joshua Zhi En, et autres
Publié: (2024)
Active learning for energy-based antibody optimization and enhanced screening
par: Furui, Kairi, et autres
Publié: (2024)
par: Furui, Kairi, et autres
Publié: (2024)
A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension
par: Kim, Jinyoung, et autres
Publié: (2024)
par: Kim, Jinyoung, et autres
Publié: (2024)
GoForth: Language Models for RNA Design under Structure, Sequence, and Coding Constraints
par: Lindsey, Michael
Publié: (2026)
par: Lindsey, Michael
Publié: (2026)
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
par: Ferri, Francesco, et autres
Publié: (2024)
par: Ferri, Francesco, et autres
Publié: (2024)
Benchmarking structure-based three-dimensional molecular generative models using GenBench3D: ligand conformation quality matters
par: Baillif, Benoit, et autres
Publié: (2024)
par: Baillif, Benoit, et autres
Publié: (2024)
Canonicalization of the E value from BLAST similarity search -- dissimilarity measure and distance function for a metric space of protein sequences
par: Mao, Boryeu
Publié: (2025)
par: Mao, Boryeu
Publié: (2025)
Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
par: Reilly, Charles B
Publié: (2026)
par: Reilly, Charles B
Publié: (2026)
AntiFold: Improved antibody structure-based design using inverse folding
par: Høie, Magnus Haraldson, et autres
Publié: (2024)
par: Høie, Magnus Haraldson, et autres
Publié: (2024)
HelixVS: Deep Learning-Enhanced Structure-Based Platform for Screening and Design
par: Zhang, Shanzhuo, et autres
Publié: (2025)
par: Zhang, Shanzhuo, et autres
Publié: (2025)
EscalNet: Learn isotropic representation space for biomolecular dynamics based on effective energy
par: Zuo, Guanghong
Publié: (2025)
par: Zuo, Guanghong
Publié: (2025)
Network Pharmacology Framework Characterizes Polypharmacological Properties of Dietary Flavonoids: Integration of Computational, Experimental, and Epidemiological Evidence
par: Fujisaki, Koyo, et autres
Publié: (2026)
par: Fujisaki, Koyo, et autres
Publié: (2026)
Persistent Sheaf Laplacian Analysis of Protein Flexibility
par: Hayes, Nicole, et autres
Publié: (2025)
par: Hayes, Nicole, et autres
Publié: (2025)
Raman Spectroscopy Reveals Photobiomodulation-Induced α-Helix to β-Sheet Transition in Tubulins: Potential Implications for Alzheimer's and Other Neurodegenerative Diseases
par: Di Gregorio, Elisabetta, et autres
Publié: (2023)
par: Di Gregorio, Elisabetta, et autres
Publié: (2023)
mRNA Folding Algorithms for Structure and Codon Optimization
par: Ward, Max, et autres
Publié: (2025)
par: Ward, Max, et autres
Publié: (2025)
Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions
par: Clark, Joseph D., et autres
Publié: (2025)
par: Clark, Joseph D., et autres
Publié: (2025)
Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited
par: Tsampazi, Vasiliki, et autres
Publié: (2026)
par: Tsampazi, Vasiliki, et autres
Publié: (2026)
Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
par: Hayes, Nicole, et autres
Publié: (2025)
par: Hayes, Nicole, et autres
Publié: (2025)
Quantification of protein homodimer affinity using native mass spectrometry
par: Schulte, Jonathan, et autres
Publié: (2025)
par: Schulte, Jonathan, et autres
Publié: (2025)
Conformational landscapes in cryo-ET data based on MD simulations
par: Jonic, Slavica
Publié: (2026)
par: Jonic, Slavica
Publié: (2026)
Combining oligo pools and Golden Gate cloning to create protein variant libraries or guide RNA libraries for CRISPR applications
par: Valero, Alicia Maciá, et autres
Publié: (2024)
par: Valero, Alicia Maciá, et autres
Publié: (2024)
Non-perturbative Bacterial Identification Directly from Solid Agar Plates Using Raman
par: Kim, Jeong Hee, et autres
Publié: (2026)
par: Kim, Jeong Hee, et autres
Publié: (2026)
VARIANT: Web Server for Decoding and Analyzing Viral Mutations at Genome and Protein Levels
par: Wang, Rui, et autres
Publié: (2026)
par: Wang, Rui, et autres
Publié: (2026)
Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning
par: Clark, Joseph D., et autres
Publié: (2024)
par: Clark, Joseph D., et autres
Publié: (2024)
Scoring-Assisted Generative Exploration for Proteins (SAGE-Prot): A Framework for Multi-Objective Protein Optimization via Iterative Sequence Generation and Evaluation
par: Lim, Hocheol, et autres
Publié: (2025)
par: Lim, Hocheol, et autres
Publié: (2025)
Impact of Force Field Polarization on Correlated Motions of Proteins
par: Milinski, Ana, et autres
Publié: (2025)
par: Milinski, Ana, et autres
Publié: (2025)
Documents similaires
-
Improving RNA secondary structure prediction via state inference with deep recurrent neural networks
par: Willmott, Devin, et autres
Publié: (2019) -
Mono- and Polyauxic Growth Kinetics: A Semi-Mechanistic Framework for Complex Biological Dynamics
par: Mockaitis, Gustavo
Publié: (2025) -
CavDetect: A DBSCAN Algorithm based Novel Cavity Detection Model on Protein Structure
par: Adhikari, Swati, et autres
Publié: (2024) -
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
par: Schapin, Nikolai, et autres
Publié: (2024) -
Methods for Analyzing RNA Pseudoknots via Chord Diagrams and Intersection Graphs
par: Ibrahim, Rayan, et autres
Publié: (2025)