Literature DB >> 26407559

Ultrafast protein structure-based virtual screening with Panther.

Sanna P Niinivehmas1, Kari Salokas1,2, Sakari Lätti1,2, Hannu Raunio2, Olli T Pentikäinen3.   

Abstract

Molecular docking is by far the most common method used in protein structure-based virtual screening. This paper presents Panther, a novel ultrafast multipurpose docking tool. In Panther, a simple shape-electrostatic model of the ligand-binding area of the protein is created by utilizing the protein crystal structure. The features of the possible ligands are then compared to the model by using a similarity search algorithm. On average, one ligand can be processed in a few minutes by using classical docking methods, whereas using Panther processing takes <1 s. The presented Panther protocol can be used in several applications, such as speeding up the early phases of drug discovery projects, reducing the number of failures in the clinical phase of the drug development process, and estimating the environmental toxicity of chemicals. Panther-code is available in our web pages (http://www.jyu.fi/panther) free of charge after registration.

Entities:  

Keywords:  Molecular docking; Panther; Similarity search; Virtual screening

Mesh:

Substances:

Year:  2015        PMID: 26407559     DOI: 10.1007/s10822-015-9870-3

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  67 in total

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2.  Assessing scoring functions for protein-ligand interactions.

Authors:  Philippe Ferrara; Holger Gohlke; Daniel J Price; Gerhard Klebe; Charles L Brooks
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3.  Comparative evaluation of eight docking tools for docking and virtual screening accuracy.

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Journal:  Proteins       Date:  2004-11-01

4.  Substantial improvements in large-scale redocking and screening using the novel HYDE scoring function.

Authors:  Nadine Schneider; Sally Hindle; Gudrun Lange; Robert Klein; Jürgen Albrecht; Hans Briem; Kristin Beyer; Holger Claußen; Marcus Gastreich; Christian Lemmen; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2011-12-27       Impact factor: 3.686

5.  How to optimize shape-based virtual screening: choosing the right query and including chemical information.

Authors:  Johannes Kirchmair; Simona Distinto; Patrick Markt; Daniela Schuster; Gudrun M Spitzer; Klaus R Liedl; Gerhard Wolber
Journal:  J Chem Inf Model       Date:  2009-03       Impact factor: 4.956

6.  Pharmacophore-based virtual screening versus docking-based virtual screening: a benchmark comparison against eight targets.

Authors:  Zhi Chen; Hong-lin Li; Qi-jun Zhang; Xiao-guang Bao; Kun-qian Yu; Xiao-min Luo; Wei-liang Zhu; Hua-liang Jiang
Journal:  Acta Pharmacol Sin       Date:  2009-11-23       Impact factor: 6.150

7.  Structural basis for selective inhibition of cyclooxygenase-2 by anti-inflammatory agents.

Authors:  R G Kurumbail; A M Stevens; J K Gierse; J J McDonald; R A Stegeman; J Y Pak; D Gildehaus; J M Miyashiro; T D Penning; K Seibert; P C Isakson; W C Stallings
Journal:  Nature       Date:  1996 Dec 19-26       Impact factor: 49.962

8.  Molecular shape and medicinal chemistry: a perspective.

Authors:  Anthony Nicholls; Georgia B McGaughey; Robert P Sheridan; Andrew C Good; Gregory Warren; Magali Mathieu; Steven W Muchmore; Scott P Brown; J Andrew Grant; James A Haigh; Neysa Nevins; Ajay N Jain; Brian Kelley
Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

9.  Progesterone receptor ligand binding pocket flexibility: crystal structures of the norethindrone and mometasone furoate complexes.

Authors:  Kevin P Madauss; Su-Jun Deng; Robert J H Austin; Millard H Lambert; Iain McLay; John Pritchard; Steven A Short; Eugene L Stewart; Ian J Uings; Shawn P Williams
Journal:  J Med Chem       Date:  2004-06-17       Impact factor: 7.446

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  19 in total

1.  Negative Image-Based Rescoring: Using Cavity Information to Improve Docking Screening.

Authors:  Olli T Pentikäinen; Pekka A Postila
Journal:  Methods Mol Biol       Date:  2021

2.  Negative Image-Based Screening: Rigid Docking Using Cavity Information.

Authors:  Pekka A Postila; Sami T Kurkinen; Olli T Pentikäinen
Journal:  Methods Mol Biol       Date:  2021

3.  Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization.

Authors:  Sakari Lätti; Sanna Niinivehmas; Olli T Pentikäinen
Journal:  J Cheminform       Date:  2016-09-07       Impact factor: 5.514

4.  Spresso: an ultrafast compound pre-screening method based on compound decomposition.

Authors:  Keisuke Yanagisawa; Shunta Komine; Shogo D Suzuki; Masahito Ohue; Takashi Ishida; Yutaka Akiyama
Journal:  Bioinformatics       Date:  2017-12-01       Impact factor: 6.937

5.  Discovery of Retinoic Acid-Related Orphan Receptor γt Inverse Agonists via Docking and Negative Image-Based Screening.

Authors:  Sanna Rauhamäki; Pekka A Postila; Sakari Lätti; Sanna Niinivehmas; Elina Multamäki; Klaus R Liedl; Olli T Pentikäinen
Journal:  ACS Omega       Date:  2018-06-11

6.  Blocking oestradiol synthesis pathways with potent and selective coumarin derivatives.

Authors:  Sanna Niinivehmas; Pekka A Postila; Sanna Rauhamäki; Elangovan Manivannan; Sami Kortet; Mira Ahinko; Pasi Huuskonen; Niina Nyberg; Pasi Koskimies; Sakari Lätti; Elina Multamäki; Risto O Juvonen; Hannu Raunio; Markku Pasanen; Juhani Huuskonen; Olli T Pentikäinen
Journal:  J Enzyme Inhib Med Chem       Date:  2018-12       Impact factor: 5.051

7.  Molecular Docking-Based Design and Development of a Highly Selective Probe Substrate for UDP-glucuronosyltransferase 1A10.

Authors:  Risto O Juvonen; Sanna Rauhamäki; Sami Kortet; Sanna Niinivehmas; Johanna Troberg; Aleksanteri Petsalo; Juhani Huuskonen; Hannu Raunio; Moshe Finel; Olli T Pentikäinen
Journal:  Mol Pharm       Date:  2018-02-15       Impact factor: 4.939

8.  Improving Docking Performance Using Negative Image-Based Rescoring.

Authors:  Sami T Kurkinen; Sanna Niinivehmas; Mira Ahinko; Sakari Lätti; Olli T Pentikäinen; Pekka A Postila
Journal:  Front Pharmacol       Date:  2018-03-26       Impact factor: 5.810

9.  Structure-Activity Relationship Analysis of 3-Phenylcoumarin-Based Monoamine Oxidase B Inhibitors.

Authors:  Sanna Rauhamäki; Pekka A Postila; Sanna Niinivehmas; Sami Kortet; Emmi Schildt; Mira Pasanen; Elangovan Manivannan; Mira Ahinko; Pasi Koskimies; Niina Nyberg; Pasi Huuskonen; Elina Multamäki; Markku Pasanen; Risto O Juvonen; Hannu Raunio; Juhani Huuskonen; Olli T Pentikäinen
Journal:  Front Chem       Date:  2018-03-02       Impact factor: 5.221

Review 10.  Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs.

Authors:  Ke Han; Lei Zhang; Miao Wang; Rui Zhang; Chunyu Wang; Chengzhi Zhang
Journal:  Molecules       Date:  2018-09-10       Impact factor: 4.411

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