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

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

AOP-Wiki
AOP-Wiki

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

Enantiospecific antitrypanosomal in vitro activity of eflornithine | PLOS  Neglected Tropical Diseases
Enantiospecific antitrypanosomal in vitro activity of eflornithine | PLOS Neglected Tropical Diseases

Predicting protein stability and solubility changes upon mutations: data  perspective - Mazurenko - 2020 - ChemCatChem - Wiley Online Library
Predicting protein stability and solubility changes upon mutations: data perspective - Mazurenko - 2020 - ChemCatChem - Wiley Online Library

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

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

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

ACS Omega impact factor and citations: scientometric... | Exaly
ACS Omega impact factor and citations: scientometric... | Exaly

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

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

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

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)

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

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

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

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

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

ACS Omega
ACS Omega

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

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

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

A primer on artificial intelligence in plant digital phenomics: embarking  on the data to insights journey: Trends in Plant Science
A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey: Trends in Plant Science

Density Functional Theory and Machine Learning Description and Prediction  of Oxygen Atom Chemisorption on Platinum Surfaces and Nanoparticles | ACS  Omega
Density Functional Theory and Machine Learning Description and Prediction of Oxygen Atom Chemisorption on Platinum Surfaces and Nanoparticles | 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

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