Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

How well do the substrates KISS the enzyme? Molecular docking program selection for feruloyl esterases.

D B R K Gupta Udatha | Nobuyoshi Sugaya | Lisbeth Olsson | Gianni Panagiotou
Scientific reports | 2012

Molecular docking is the most commonly used technique in the modern drug discovery process where computational approaches involving docking algorithms are used to dock small molecules into macromolecular target structures. Over the recent years several evaluation studies have been reported by independent scientists comparing the performance of the docking programs by using default 'black box' protocols supplied by the software companies. Such studies have to be considered carefully as the docking programs can be tweaked towards optimum performance by selecting the parameters suitable for the target of interest. In this study we address the problem of selecting an appropriate docking and scoring function combination (88 docking algorithm-scoring functions) for substrate specificity predictions for feruloyl esterases, an industrially relevant enzyme family. We also propose the 'Key Interaction Score System' (KISS), a more biochemically meaningful measure for evaluation of docking programs based on pose prediction accuracy.

Pubmed ID: 22435086

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


LeadIT (tool)

RRID:SCR_014881

Drug discovery platform for medicinal and computational researchers. Users can assess the binding affinity and contributions to binding of a complex, find new scaffolds, grow molecules towards pharmacophore points, link fragments, and investigate possible dock binding conformations.

View all literature mentions

QikProp (tool)

RRID:SCR_014906

Software program for ADME property prediction for drug development. The program uses properties such as octanol/water and water/gas log Ps and 3D molecular structure. It is capable of screening compound libraries using computed properties to filter out unlikely drug candidates.

View all literature mentions

ConfGen (tool)

RRID:SCR_023928

Software conformational search method for efficient generation of bioactive conformers. Used for generating conformations for ligand-based virtual screening in molecular modeling and in drug discovery. Schrödinger has completely rewritten the ConfGen application for producing diverse, low-energy 3D structures of compounds and to improve recovery of bioactive conformations among generated conformers and drastically speed conformer generation.

View all literature mentions