AIMC Topic: Solvents

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Multiple sequence alignment-based RNA language model and its application to structural inference.

Nucleic acids research
Compared with proteins, DNA and RNA are more difficult languages to interpret because four-letter coded DNA/RNA sequences have less information content than 20-letter coded protein sequences. While BERT (Bidirectional Encoder Representations from Tra...

Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions.

Polimery w medycynie
BACKGROUND: Dapsone (DAP) is an anti-inflammatory and antimicrobial active pharmaceutical ingredient used to treat, e.g., AIDS-related diseases. However, low solubility is a feature hampering its efficient use.

NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.

Nucleic acids research
Recent advances in machine learning and natural language processing have made it possible to profoundly advance our ability to accurately predict protein structures and their functions. While such improvements are significantly impacting the fields o...

Assessing the persistence of chalcogen bonds in solution with neural network potentials.

The Journal of chemical physics
Non-covalent bonding patterns are commonly harvested as a design principle in the field of catalysis, supramolecular chemistry, and functional materials to name a few. Yet, their computational description generally neglects finite temperature and env...

AutoSolvate: A toolkit for automating quantum chemistry design and discovery of solvated molecules.

The Journal of chemical physics
The availability of large, high-quality datasets is crucial for artificial intelligence design and discovery in chemistry. Despite the essential roles of solvents in chemistry, the rapid computational dataset generation of solution-phase molecular pr...

SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity.

Bioinformatics (Oxford, England)
MOTIVATION: Accurately predicting protein secondary structure and relative solvent accessibility is important for the study of protein evolution, structure and an early-stage component of typical protein 3D structure prediction pipelines.

Comparison of predictions of developmental toxicity for compounds of solvent data set.

SAR and QSAR in environmental research
We have considered a series of 235 compounds technically classified as solvents. Chemically, they belong to different classes. Their potential developmental toxicity was evaluated using two models available on platform VEGA HUB; model CAESAR and the ...

Precise estimation of residue relative solvent accessible area from Cα atom distance matrix using a deep learning method.

Bioinformatics (Oxford, England)
MOTIVATION: The solvent accessible surface is an essential structural property measure related to the protein structure and protein function. Relative solvent accessible area (RSA) is a standard measure to describe the degree of residue exposure in t...

Programmable and reprocessable multifunctional elastomeric sheets for soft origami robots.

Science robotics
Tunable, soft, and multifunctional robots are contributing to developments in medical and rehabilitative robotics, human-machine interaction, and intelligent home technology. A key aspect of soft robot fabrication is the ability to use flexible and e...

Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

Pakistan journal of pharmaceutical sciences
P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medicine formulation for treatment of chronic bronchitis, bronchial asthma and pneumoconiosis. The objective of this study was to evaluate the anti-inflam...