Explore Cheminformatics through 2 example sentences from English, with an explanation of the meaning. Ideal for language learners, writers and word enthusiasts.
Cheminformatics in a sentence
Cheminformatics meaning
Any of many applications of information technology to chemistry
Using Cheminformatics
- The main meaning on this page is: Any of many applications of information technology to chemistry
Context around Cheminformatics
- Average sentence length in these examples: 17.5 words
- Position in the sentence: 2 start, 0 middle, 0 end
- Sentence types: 2 statements, 0 questions, 0 exclamations
Corpus analysis for Cheminformatics
- In this selection, "cheminformatics" usually appears near the start of the sentence. The average example has 17.5 words, and this corpus slice is mostly made up of statements.
- Around the word, furthermore and uses stand out and add context to how "cheminformatics" is used.
- Recognizable usage signals include furthermore cheminformatics uses even and problem in cheminformatics is to. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "cheminformatics" sits close to words such as aabc, aacr and aacsb, which helps place it inside the broader word index.
Example types with cheminformatics
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Furthermore, cheminformatics uses even more empirical (and computationally cheaper) methods like machine learning based on physicochemical properties. (17 words)
One typical problem in cheminformatics is to predict the binding affinity of drug molecules to a given target. (18 words)
One typical problem in cheminformatics is to predict the binding affinity of drug molecules to a given target. (18 words)
Furthermore, cheminformatics uses even more empirical (and computationally cheaper) methods like machine learning based on physicochemical properties. (17 words)
Example sentences (2)
Furthermore, cheminformatics uses even more empirical (and computationally cheaper) methods like machine learning based on physicochemical properties.
One typical problem in cheminformatics is to predict the binding affinity of drug molecules to a given target.