Literature DB >> 21315634

An inverse docking approach for identifying new potential anti-cancer targets.

Sam Z Grinter1, Yayun Liang, Sheng-You Huang, Salman M Hyder, Xiaoqin Zou.   

Abstract

Inverse docking is a relatively new technique that has been used to identify potential receptor targets of small molecules. Our docking software package MDock is well suited for such an application as it is both computationally efficient, yet simultaneously shows adequate results in binding affinity predictions and enrichment tests. As a validation study, we present the first stage results of an inverse-docking study which seeks to identify potential direct targets of PRIMA-1. PRIMA-1 is well known for its ability to restore mutant p53's tumor suppressor function, leading to apoptosis in several types of cancer cells. For this reason, we believe that potential direct targets of PRIMA-1 identified in silico should be experimentally screened for their ability to inhibit cancer cell growth. The highest-ranked human protein of our PRIMA-1 docking results is oxidosqualene cyclase (OSC), which is part of the cholesterol synthetic pathway. The results of two followup experiments which treat OSC as a possible anti-cancer target are promising. We show that both PRIMA-1 and Ro 48-8071, a known potent OSC inhibitor, significantly reduce the viability of BT-474 and T47-D breast cancer cells relative to normal mammary cells. In addition, like PRIMA-1, we find that Ro 48-8071 results in increased binding of p53 to DNA in BT-474 cells (which express mutant p53). For the first time, Ro 48-8071 is shown as a potent agent in killing human breast cancer cells. The potential of OSC as a new target for developing anticancer therapies is worth further investigation.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21315634      PMCID: PMC3068237          DOI: 10.1016/j.jmgm.2011.01.002

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  32 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Ensemble docking of multiple protein structures: considering protein structural variations in molecular docking.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  Proteins       Date:  2007-02-01

3.  DOCK 6: combining techniques to model RNA-small molecule complexes.

Authors:  P Therese Lang; Scott R Brozell; Sudipto Mukherjee; Eric F Pettersen; Elaine C Meng; Veena Thomas; Robert C Rizzo; David A Case; Thomas L James; Irwin D Kuntz
Journal:  RNA       Date:  2009-04-15       Impact factor: 4.942

4.  In silico-guided target identification of a scaffold-focused library: 1,3,5-triazepan-2,6-diones as novel phospholipase A2 inhibitors.

Authors:  Pascal Muller; Gersande Lena; Eric Boilard; Sofiane Bezzine; Gérard Lambeau; Gilles Guichard; Didier Rognan
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

5.  Inclusion of solvation and entropy in the knowledge-based scoring function for protein-ligand interactions.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2010-02-22       Impact factor: 4.956

6.  Inverse in silico screening for identification of kinase inhibitor targets.

Authors:  Stefan Zahler; Simon Tietze; Frank Totzke; Michael Kubbutat; Laurent Meijer; Angelika M Vollmar; Joannis Apostolakis
Journal:  Chem Biol       Date:  2007-11

7.  Re-activation of the p53 pathway inhibits in vivo and in vitro growth of hormone-dependent human breast cancer cells.

Authors:  Yayun Liang; Cynthia Besch-Williford; Indira Benakanakere; Salman M Hyder
Journal:  Int J Oncol       Date:  2007-10       Impact factor: 5.650

8.  Progestin-dependent progression of human breast tumor xenografts: a novel model for evaluating antitumor therapeutics.

Authors:  Yayun Liang; Cynthia Besch-Williford; Rolf A Brekken; Salman M Hyder
Journal:  Cancer Res       Date:  2007-10-15       Impact factor: 12.701

9.  PRIMA-1 reactivates mutant p53 by covalent binding to the core domain.

Authors:  Jeremy M R Lambert; Petr Gorzov; Dimitry B Veprintsev; Maja Söderqvist; Dan Segerbäck; Jan Bergman; Alan R Fersht; Pierre Hainaut; Klas G Wiman; Vladimir J N Bykov
Journal:  Cancer Cell       Date:  2009-05-05       Impact factor: 31.743

10.  PDTD: a web-accessible protein database for drug target identification.

Authors:  Zhenting Gao; Honglin Li; Hailei Zhang; Xiaofeng Liu; Ling Kang; Xiaomin Luo; Weiliang Zhu; Kaixian Chen; Xicheng Wang; Hualiang Jiang
Journal:  BMC Bioinformatics       Date:  2008-02-19       Impact factor: 3.169

View more
  17 in total

1.  SM-TF: A structural database of small molecule-transcription factor complexes.

Authors:  Xianjin Xu; Zhiwei Ma; Hongmin Sun; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2016-03-24       Impact factor: 3.376

Review 2.  Polypharmacology: drug discovery for the future.

Authors:  A Srinivas Reddy; Shuxing Zhang
Journal:  Expert Rev Clin Pharmacol       Date:  2013-01       Impact factor: 5.045

3.  Fimbristylis aestivalis Vahl: a potential source of cyclooxygenase-2 (COX-2) inhibitors.

Authors:  Saduddin Talukder; Khondoker Shahin Ahmed; Hemayet Hossain; Tarek Hasan; Israt Jahan Liya; Muhammed Amanat; Nurun Nahar; Md Sadikur Rahman Shuvo; A F M Shahid Ud Daula
Journal:  Inflammopharmacology       Date:  2022-09-03       Impact factor: 5.093

4.  Integrating sampling techniques and inverse virtual screening: toward the discovery of artificial peptide-based receptors for ligands.

Authors:  Germán M Pérez; Luis A Salomón; Luis A Montero-Cabrera; José M García de la Vega; Marcello Mascini
Journal:  Mol Divers       Date:  2015-11-09       Impact factor: 2.943

Review 5.  Cholesterol Metabolic Reprogramming in Cancer and Its Pharmacological Modulation as Therapeutic Strategy.

Authors:  Isabella Giacomini; Federico Gianfanti; Maria Andrea Desbats; Genny Orso; Massimiliano Berretta; Tommaso Prayer-Galetti; Eugenio Ragazzi; Veronica Cocetta
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

6.  In-silico prediction of drug targets, biological activities, signal pathways and regulating networks of dioscin based on bioinformatics.

Authors:  Lianhong Yin; Lingli Zheng; Lina Xu; Deshi Dong; Xu Han; Yan Qi; Yanyan Zhao; Youwei Xu; Jinyong Peng
Journal:  BMC Complement Altern Med       Date:  2015-03-05       Impact factor: 3.659

7.  Curation and analysis of multitargeting agents for polypharmacological modeling.

Authors:  A Srinivas Reddy; Zhi Tan; Shuxing Zhang
Journal:  J Chem Inf Model       Date:  2014-08-29       Impact factor: 4.956

8.  The cholesterol biosynthesis enzyme oxidosqualene cyclase is a new target to impair tumour angiogenesis and metastasis dissemination.

Authors:  Federica Maione; Simonetta Oliaro-Bosso; Claudia Meda; Federica Di Nicolantonio; Federico Bussolino; Gianni Balliano; Franca Viola; Enrico Giraudo
Journal:  Sci Rep       Date:  2015-03-12       Impact factor: 4.379

9.  Fungal naphtho-γ-pyrones: Potent antibiotics for drug-resistant microbial pathogens.

Authors:  Yan He; Jun Tian; Xintao Chen; Weiguang Sun; Hucheng Zhu; Qin Li; Liang Lei; Guangmin Yao; Yongbo Xue; Jianping Wang; Hua Li; Yonghui Zhang
Journal:  Sci Rep       Date:  2016-04-11       Impact factor: 4.379

10.  Cholesterol biosynthesis inhibitor RO 48-8071 suppresses growth of hormone-dependent and castration-resistant prostate cancer cells.

Authors:  Yayun Liang; Benford Mafuvadze; Johannes D Aebi; Salman M Hyder
Journal:  Onco Targets Ther       Date:  2016-05-30       Impact factor: 4.147

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.