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Frontiers | PepVAE: Variational Autoencoder Framework for Antimicrobial  Peptide Generation and Activity Prediction
Frontiers | PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction

Exploring the octanol–water partition coefficient dataset using deep  learning techniques and data augmentation | Communications Chemistry
Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation | Communications Chemistry

Molecules | Free Full-Text | Energy Level Prediction of Organic  Semiconductors for Photodetectors and Mining of a Photovoltaic Database to  Search for New Building Units
Molecules | Free Full-Text | Energy Level Prediction of Organic Semiconductors for Photodetectors and Mining of a Photovoltaic Database to Search for New Building Units

AOP-Wiki
AOP-Wiki

Can anyone tell me about the impact factor of ACS Omega journal? |  ResearchGate
Can anyone tell me about the impact factor of ACS Omega journal? | ResearchGate

GMD - Predicting peak daily maximum 8 h ozone and linkages to emissions and  meteorology in Southern California using machine learning methods  (SoCAB-8HR V1.0)
GMD - Predicting peak daily maximum 8 h ozone and linkages to emissions and meteorology in Southern California using machine learning methods (SoCAB-8HR V1.0)

Frontiers | Ion Mobility Coupled to a Time-of-Flight Mass Analyzer Combined  With Fragment Intensity Predictions Improves Identification of Classical  Bioactive Peptides and Small Open Reading Frame-Encoded Peptides
Frontiers | Ion Mobility Coupled to a Time-of-Flight Mass Analyzer Combined With Fragment Intensity Predictions Improves Identification of Classical Bioactive Peptides and Small Open Reading Frame-Encoded Peptides

A Laboratory-Specific Scaling Factor to Predict the In Vivo Human Clearance  of Aldehyde Oxidase Substrates | Drug Metabolism & Disposition
A Laboratory-Specific Scaling Factor to Predict the In Vivo Human Clearance of Aldehyde Oxidase Substrates | Drug Metabolism & Disposition

Molecules | Free Full-Text | Simultaneous Predictions of Chemical and Phase  Equilibria in Systems with an Esterification Reaction Using PC-SAFT
Molecules | Free Full-Text | Simultaneous Predictions of Chemical and Phase Equilibria in Systems with an Esterification Reaction Using PC-SAFT

What is the impact factor of ACS Omega? - YouTube
What is the impact factor of ACS Omega? - YouTube

3D printing of biomass-derived composites: application and characterization  approaches - RSC Advances (RSC Publishing) DOI:10.1039/D0RA03620J
3D printing of biomass-derived composites: application and characterization approaches - RSC Advances (RSC Publishing) DOI:10.1039/D0RA03620J

Theoretical Prediction of the Occurrence of Gas Hydrate Stability Zones: A  Case Study of the Mohe Basin, Northeast China,ACS Omega - X-MOL
Theoretical Prediction of the Occurrence of Gas Hydrate Stability Zones: A Case Study of the Mohe Basin, Northeast China,ACS Omega - X-MOL

A simple predictive model for estimating relative e-cigarette toxic  carbonyl levels | PLOS ONE
A simple predictive model for estimating relative e-cigarette toxic carbonyl levels | PLOS ONE

Frontiers | In silico Designing of an Epitope-Based Vaccine Against Common  E. coli Pathotypes
Frontiers | In silico Designing of an Epitope-Based Vaccine Against Common E. coli Pathotypes

How to Predict the pKa of Any Compound in Any Solvent
How to Predict the pKa of Any Compound in Any Solvent

Novel Development of Predictive Feature Fingerprints to Identify  Chemistry-Based Features for the Effective Drug Design of SARS-CoV-2 Target  Antagonists and Inhibitors Using Machine Learning | ACS Omega
Novel Development of Predictive Feature Fingerprints to Identify Chemistry-Based Features for the Effective Drug Design of SARS-CoV-2 Target Antagonists and Inhibitors Using Machine Learning | ACS Omega

OA Journals - ACS Open Science
OA Journals - ACS Open Science

IJMS | Free Full-Text | Recent Studies of Artificial Intelligence on In  Silico Drug Distribution Prediction
IJMS | Free Full-Text | Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction

Biomarker-Based Prediction of Recurrent Ischemic Events in Patients With  Acute Coronary Syndromes - ScienceDirect
Biomarker-Based Prediction of Recurrent Ischemic Events in Patients With Acute Coronary Syndromes - ScienceDirect

ACS Omega
ACS Omega

Eliminating Transition State Calculations for Faster and More Accurate  Reactivity Prediction in Sulfa-Michael Additions Relevant to Human Health  and the Environment | ACS Omega
Eliminating Transition State Calculations for Faster and More Accurate Reactivity Prediction in Sulfa-Michael Additions Relevant to Human Health and the Environment | ACS Omega

ACS Omega
ACS Omega

PDF) Research on the Influencing Factors and Prediction Model of Impact  Airflow in the Process of Unloading of an Ore Pass Based on a Coupled  Computational Fluid Dynamics and Discrete Element Method
PDF) Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Machine learning-based solubility prediction and methodology evaluation of  active pharmaceutical ingredients in industrial crystallization |  SpringerLink
Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization | SpringerLink

Online Predictor Using Machine Learning to Predict Novel Coronavirus and  Other Pathogenic Viruses | ACS Omega
Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses | ACS Omega

Prediction and evaluation of fuel properties of hydrochar from waste solid  biomass: Machine learning algorithm based on proposed PSO–NN model -  ScienceDirect
Prediction and evaluation of fuel properties of hydrochar from waste solid biomass: Machine learning algorithm based on proposed PSO–NN model - ScienceDirect

Prediction and Classification of Formation Energies of Binary Compounds by  Machine Learning: An Approach without Crystal Structure Information | ACS  Omega
Prediction and Classification of Formation Energies of Binary Compounds by Machine Learning: An Approach without Crystal Structure Information | ACS Omega

🏆 ACS Omega | Impact Factor | Indexing | Acceptance rate | Abbreviation -  Open access journals
🏆 ACS Omega | Impact Factor | Indexing | Acceptance rate | Abbreviation - Open access journals

Generative models for molecular discovery: Recent advances and challenges -  Bilodeau - 2022 - WIREs Computational Molecular Science - Wiley Online  Library
Generative models for molecular discovery: Recent advances and challenges - Bilodeau - 2022 - WIREs Computational Molecular Science - Wiley Online Library

ACS Omega
ACS Omega