Talk:Multi-state modeling of biomolecules

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This article was adapted from Melanie I Stefan; Thomas M Bartol; Terrence J Sejnowski; Mary B Kennedy (September 2014). "Multi-state modeling of biomolecules". PLOS Computational Biology. 10 (9): e1003844. doi:10.1371/JOURNAL.PCBI.1003844. ISSN 1553-734X. PMC 4201162. PMID 25254957. Wikidata Q18145441.{{cite journal}}: CS1 maint: unflagged free DOI (link) after peer review (reviewer reports) under a CC BY 4.0 license (2014).

Suggestions for improvement

This looks like a great WP article and I enjoyed learning from it. Here are a few notes and suggestions for improvement.

To make this more accessible to a general audience, it would be helpful to define what is meant by state and functional state.
Strangely, protein folding and RNA secondary structure prediction are not mentioned in the article. These are the original multi-state biomolecule problems.
Associated with these are techniques missing from this article like Markov state models for protein folding and Probabilistic context free grammars for RNA secondary structure prediction, to just name two.

It may be that the gaps noted above are not flaws in the article, but a flaw in the article title. It doesn't seem like the article is trying to be a general overview of multistate modeling of biomolecules; rather it concentrates on rule-based methods and software packages for modeling biomolecular complexes. Renaming it to reflect the narrower scope covered may be the best solution. --Mark viking (talk) 10:57, 29 September 2014 (UTC)[reply]

Incorporate information from this review

This could be very interesting to some readers https://bmcbiophys.biomedcentral.com/articles/10.1186/s13628-014-0011-5 Biggerj1 (talk) 22:38, 25 December 2020 (UTC)[reply]