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Machine learning for electrocatalyst and photocatalyst design and discovery
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …
reducing the impact of global warming, and providing solutions to environmental pollution …
Natural product drug discovery in the artificial intelligence era
FI Saldívar-González, VD Aldas-Bulos… - Chemical …, 2022 - pubs.rsc.org
Natural products (NPs) are primarily recognized as privileged structures to interact with
protein drug targets. Their unique characteristics and structural diversity continue to marvel …
protein drug targets. Their unique characteristics and structural diversity continue to marvel …
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information
Mass spectrometry is a predominant experimental technique in metabolomics and related
fields, but metabolite structural elucidation remains highly challenging. We report SIRIUS 4 …
fields, but metabolite structural elucidation remains highly challenging. We report SIRIUS 4 …
Generating focused molecule libraries for drug discovery with recurrent neural networks
In de novo drug design, computational strategies are used to generate novel molecules with
good affinity to the desired biological target. In this work, we show that recurrent neural …
good affinity to the desired biological target. In this work, we show that recurrent neural …
Mordred: a molecular descriptor calculator
Molecular descriptors are widely employed to present molecular characteristics in
cheminformatics. Various molecular-descriptor-calculation software programs have been …
cheminformatics. Various molecular-descriptor-calculation software programs have been …
MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background Mass spectrometry (MS) coupled with online separation methods is commonly
applied for differential and quantitative profiling of biological samples in metabolomic as well …
applied for differential and quantitative profiling of biological samples in metabolomic as well …
MetFrag relaunched: incorporating strategies beyond in silico fragmentation
C Ruttkies, EL Schymanski, S Wolf, J Hollender… - Journal of …, 2016 - Springer
Background The in silico fragmenter MetFrag, launched in 2010, was one of the first
approaches combining compound database searching and fragmentation prediction for …
approaches combining compound database searching and fragmentation prediction for …
KNIME-the Konstanz information miner: version 2.0 and beyond
MR Berthold, N Cebron, F Dill, TR Gabriel… - AcM SIGKDD …, 2009 - dl.acm.org
The Konstanz Information Miner is a modular environment, which enables easy visual
assembly and interactive execution of a data pipeline. It is designed as a teaching, research …
assembly and interactive execution of a data pipeline. It is designed as a teaching, research …
Searching molecular structure databases with tandem mass spectra using CSI: FingerID
Metabolites provide a direct functional signature of cellular state. Untargeted metabolomics
experiments usually rely on tandem MS to identify the thousands of compounds in a …
experiments usually rely on tandem MS to identify the thousands of compounds in a …
Molecular fingerprint similarity search in virtual screening
Molecular fingerprints have been used for a long time now in drug discovery and virtual
screening. Their ease of use (requiring little to no configuration) and the speed at which …
screening. Their ease of use (requiring little to no configuration) and the speed at which …