2007
DOI: 10.1002/prot.21478
|View full text |Cite
|
Sign up to set email alerts
|

A statistical approach to the prediction of pKa values in proteins

Abstract: We propose a simple model for the calculation of pK(a) values of ionizable residues in proteins. It is based on the premise that the pK(a) shift of ionizable residues is linearly correlated to the interaction between a particular residue and the local environment created by the surrounding residues. Despite its simplicity, the model displays good prediction performance. Under the sixfold cross test prediction over a data set of 405 experimental pK(a) values in 73 protein chains with known structures, the root-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
27
0

Year Published

2007
2007
2012
2012

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(27 citation statements)
references
References 61 publications
0
27
0
Order By: Relevance
“…PROPKA data were obtained using the publicly available web interface (http://propka.ki.ku.dk). Several other methods for the prediction of p K a values are available, e.g., MCCE (25, 26), MEAD (27), and PKAcal (28). However, PROPKA performed well in several benchmarking studies (e.g., refs (23), (24), and (29)) and was therefore our method of choice.…”
Section: Methodsmentioning
confidence: 99%
“…PROPKA data were obtained using the publicly available web interface (http://propka.ki.ku.dk). Several other methods for the prediction of p K a values are available, e.g., MCCE (25, 26), MEAD (27), and PKAcal (28). However, PROPKA performed well in several benchmarking studies (e.g., refs (23), (24), and (29)) and was therefore our method of choice.…”
Section: Methodsmentioning
confidence: 99%
“…Significant improvements over continuum electrostatics (and more in general molecular mechanics) methods have been achieved by parametrization of interactions [49,50,66-69]. …”
Section: Methodsmentioning
confidence: 99%
“…Multiple protonation states of each receptor were generated, depending on the predicted p K a values for each asparate, cystine, glutamate, histidine, lysine, or tyrosine whose calculated p K a was between 5 and 9 51. Only residues within a radius of 5 Å from any ligand were considered.…”
Section: Methodsmentioning
confidence: 99%