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A platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.
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Unfortunately, no efficient way to create a canonical molecular representation for this line notation existed, meaning that a given molecule could be referred to by multiple different WLN strings in different chemical databases.
Software is available which can generate clear molecular representations from InChI without AuxInfo and, in principle, the same thing can be done for RInChI.
To date, it remains unproven as to whether making iconic molecular representations of macroscopic objects or following the principles of biological machines will be the most effective route for designing molecular machines with useful functions.
Here, we developed PyBioMed, a python library, for realizing comprehensive molecular representation of various molecular objects and basic data analysis tasks.
Group contribution (GC) methods were applied for the determination of critical properties of molecular representations developed by Sheremata for Athabasca vacuum tower bottoms (VTB).
Various kernel methods based on different molecular representations have been proposed for QSAR modelling [18].
PyBioMed mainly focuses on the study of molecular representation techniques for not only single molecular objects, but also interactions between any two individual molecules from pairwise samples.
One of the many benefits of DCVs in science instruction is that they are better than static visualizations in serving as conceptual references for complex, dynamic molecular representations and processes (Marbach-Ad et al. 2008; Smetana and Bell 2012; Savec et al. 2005).
The first stage includes the collection and cleaning of a dataset for the study and the selection of the best molecular representations [8 10].
CDPs portray the diversity calculated with three major molecular representations: molecular scaffolds, fingerprints, and physicochemical properties.
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