AIMC Topic: Solvents

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Learning To Predict Reaction Conditions: Relationships between Solvent, Molecular Structure, and Catalyst.

Journal of chemical information and modeling
Reaction databases provide a great deal of useful information to assist planning of experiments but do not provide any interpretation or chemical concepts to accompany this information. In this work, reactions are labeled with experimental conditions...

PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning.

Amino acids
Predicting the three-dimensional structure of proteins is a long-standing challenge of computational biology, as the structure (or lack of a rigid structure) is well known to determine a protein's function. Predicting relative solvent accessibility (...

Determining gradient conditions for peptide purification in RPLC with machine-learning-based retention time predictions.

Journal of chromatography. A
A strategy for determining a suitable solvent gradient in silico in preparative peptide separations is presented. The strategy utilizes a machine-learning-based method, called ELUDE, for peptide retention time predictions based on the amino acid sequ...

Solvent-Specific Featurization for Predicting Free Energies of Solvation through Machine Learning.

Journal of chemical information and modeling
A featurization algorithm based on functional class fingerprints has been implemented within the DeepChem machine learning framework. It is based on descriptors more appropriate for solvation, taking into account intermolecular properties, and has be...

Solvation Free Energy Calculations with Quantum Mechanics/Molecular Mechanics and Machine Learning Models.

The journal of physical chemistry. B
For exploration of chemical and biological systems, the combined quantum mechanics and molecular mechanics (QM/MM) and machine learning (ML) models have been developed recently to achieve high accuracy and efficiency for molecular dynamics (MD) simul...

Development and validation of a sensitive method for alkyl sulfonate genotoxic impurities determination in drug substances using gas chromatography coupled to triple quadrupole mass spectrometry.

Journal of pharmaceutical and biomedical analysis
Alkyl sulfonate esters have been widely concerned as genotoxic impurities (GTIs). A gas chromatography triple-quadrupole mass spectrometry (GC-MS/MS) method has been developed for trace determination of 9 commonly encountered sulfonate esters in drug...

Efficient extraction of flavonoids from Flos Sophorae Immaturus by tailored and sustainable deep eutectic solvent as green extraction media.

Journal of pharmaceutical and biomedical analysis
In the face of the many shortcomings of conventional organic solvents in the age of green chemistry, deep eutectic solvents (DESs) appear under the spotlight of natural product extraction because of its outstanding advantages. In this study, the extr...

Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial neural network.

Enzyme and microbial technology
Recently enzymatic catalysts have replaced organic and organometallic catalysts in the synthesis of bio-resorbable polymers. Enzymatic polymerization is considered as an alternative to conventional polymerization as they are less toxic, environmental...

Production of lipid-containing algal-bacterial polyculture in wastewater and biomethanation of lipid extracted residues: Enhancing methane yield through hydrothermal pretreatment and relieving solvent toxicity through co-digestion.

The Science of the total environment
The feasibility of generating a lipid-containing algal-bacterial polyculture biomass in municipal primary wastewater and enhancing biomethanation of lipid-extracted algal residues (LEA) through hydrothermal pretreatment and co-digestion with sewage s...

Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning.

Journal of computational chemistry
Predicting protein structure from sequence alone is challenging. Thus, the majority of methods for protein structure prediction rely on evolutionary information from multiple sequence alignments. In previous work we showed that Long Short-Term Bidire...