Suggestions(1)
Exact(2)
We therefore neglect the fact that real substances are composed of discrete molecules and model matter from the start as a smoothed-out continuum.
Thereby, R osetta methods are becoming increasingly important in the interpretation of biological findings, e.g., from genome projects and in the engineering of therapeutics, probe molecules, and model systems in biomedical research.
Similar(58)
For example, machine learning and text mining are significant components of computational bioinformatics that allow for connection of system elements (i.e., molecules) and modeling of networks of regulatory pathways.
A model ternary heparin conjugate by direct covalent bond strategy has been developed, in which modified heparin using active mix anhydride as intermediate conjugates with model drug molecule and model specific ligand, respectively.
Due to their ease of preparation and controllable surface chemical functionality, SAMs represent suitable model systems for studying wetting [1 3], corrosion [4, 5], adhesion [6, 7], tribology [8 12], charge transfer through molecules [13], and model surfaces for biochemistry and cell biology [14].
Using the number of carbon atoms in the fullerene molecules and the model equations, the structural relationships between the aforementioned physicochemical data can be derived.
If we consider the relation between gas molecules and a model for gas, namely a collection of billiard balls in random motion, we will find properties that are common to both domains (positive analogy) as well as properties that can only be ascribed to the model but not to the target domain (negative analogy).
The molecular descriptors used to generate the QSPR models were used to characterize the ligand molecules and QSPR models were generated for predicting the elution conductivity of three test set proteins.
Self-assembling structures of amphiphilic BHPB-n gelator molecules are studied theoretically using a hierarchical approach involving both all-atomic computer modelling and analytical consideration at the mesoscopic length-scale (based on statistical mechanics of chain molecules and phenomenological models).
The value of the molecules and the models for the future of the project is discussed.
To the best of our knowledge, this is the first and most comprehensive computational analysis towards understanding RNA binding activities of small molecules and predictive modeling of these activities.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com