Homopharma: a New Concept for Exploring the Molecular Binding

Homopharma: a New Concept for Exploring the Molecular Binding

Chiu et al. BMC Genomics 2014, 15(Suppl 9):S8 http://www.biomedcentral.com/1471-2164/15/S9/S8 RESEARCH Open Access Homopharma: A new concept for exploring the molecular binding mechanisms and drug repurposing Yi-Yuan Chiu1, Jen-Hu Tseng1, Kuan-Hsiu Liu1, Chih-Ta Lin1, Kai-Cheng Hsu1, Jinn-Moon Yang1,2* From Asia Pacific Bioinformatics Network (APBioNet) Thirteenth International Conference on Bioinformatics (InCoB2014) Sydney, Australia. 31 July - 2 August 2014 Abstract Background: Drugs that simultaneously target multiple proteins often improve efficacy, particularly in the treatment of complex diseases such as cancers and central nervous system disorders. Many approaches have been proposed to identify the potential targets of a drug. Recently, we have introduced Space-Related Pharmamotif (SRPmotif) method to recognize the proteins that share similar binding environments. In addition, compounds with similar topology may bind to similar proteins and have similar protein-compound interactions. However, few studies have focused on exploring the relationships between binding environments and protein-compound interactions, which is important for understanding molecular binding mechanisms and helpful to be used in discovering drug repurposing. Results: In this study, we propose a new concept of “Homopharma”, combining similar binding environments and protein-compound interaction profiles, to explore the molecular binding mechanisms and drug repurposing. A Homopharma consists of a set of proteins which have the conserved binding environment and a set of compounds that share similar structures and functional groups. These proteins and compounds present conserved interactions and similar physicochemical properties. Therefore, these compounds are often able to inhibit the proteins in a Homopharma. Our experimental results show that the proteins and compounds in a Homopharma often have similar protein-compound interactions, comprising conserved specific residues and functional sites. Based on the Homopharma concept, we selected four flavonoid derivatives and 32 human protein kinases for enzymatic profiling. Among these 128 bioassays, the IC50 of 56 and 25 flavonoid-kinase inhibitions are less than 10 μM and 1 μM, respectively. Furthermore, these experimental results suggest that these flavonoids can be used as anticancer compounds, such as oral and colorectal cancer drugs. Conclusions: The experimental results show that the Homopharma is useful for identifying key binding environments of proteins and compounds and discovering new inhibitory effects. We believe that the Homopharma concept can have the potential for understanding molecular binding mechanisms and providing new clues for drug development. Background one drug, one disease” paradigm to design exquisitely Developing a new drug is difficult and takes on average of selective ligands of a single disease target. For example, 13 years as well as US$1.8 billion [1]. Traditional gefitinib (trade name Iressa) and imatinib (trade name approaches for rational drug design used the “one gene, Gleevec) have been developed by this strategy and used for lung cancer and chronic myeloid leukemia, respec- * Correspondence: [email protected] tively. However, many drugs have been indicated that they 1Institute of Bioinformatics and Systems Biology, National Chiao Tung can interact with more than one target protein [2-4]. University, Hsinchu, 30050, Taiwan Some unexpected efficacy can be linked to activity against Full list of author information is available at the end of the article © 2014 Chiu et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Chiu et al. BMC Genomics 2014, 15(Suppl 9):S8 Page 2 of 10 http://www.biomedcentral.com/1471-2164/15/S9/S8 additional targets, such as imatinib and PDGF receptor [5]. experimental results identified that the IC50 values of 56 Previous work has identified that a drug interacts with 6 and 25 flavonoid-kinase inhibitions are less than 10 μM targets on average by analyzing a drug-target network con- and 1 μM, respectively. Some novel protein-compound sisting of 802 drugs and 4,746 interactions [6]. Many stu- interactions also suggest that these flavonoids could be dies also suggest that drug development on targeting used as anticancer compounds such as oral and colorec- multiple proteins simultaneously can improve efficacy, tal cancer drugs. These results show that the concept particularly in the treatment of complex diseases (e.g. can- Homopharma is not only useful for identifying potential cer and central nervous system disorders) [7,8]. The strat- targets of compounds, but can also reveal the key binding egy of pharmaceutical research, defined as the specific environment. Furthermore, it would be helpful for disco- binding of a compound to two or more molecular targets, vering the new usages for existing drugs. We believe that has variously been termed “network-based” discovery, this approach can be further applied to understand mole- “multi-targeted” drug design, “targeted polypharmacol- cular binding mechanisms and take a new direction on ogy”,or“polypharmacology” [9-17]. drug discovery. One challenge of targeted polypharmacology is to identify the molecular targets that bind the compound. Materials and Methods To recognize the proteins with similar binding sites of a Homopharma and pharma-interfaces given protein sequence or structure, the computational In this study, we propose a new concept “Homopharma” approaches of searching the protein sequence or struc- to describe similar binding environment and the relation- ture databases are usually utilized [18-21]. As the num- ships of interactions between proteins and compounds. ber of protein structures is increasing, protein structures Proteins sharing similar binding environments can usually have been proposed to analyze the structural motifs and be targeted by a set of compound with similar topology. to describe the binding environments [22,23]. However, We considered that a Homopharma comprises of a set of most of these studies [24-28] search for similar local proteins which have the conserved sub-binding environ- structures or binding sites (active sites) based on only ment at the protein-compound interfaces and a set of one structural motif. Recently, we have introduced compounds with similar topology. For a complex struc- Space-Related Pharmamotif (SRPmotif) method [29] to ture, the proteins with similar pharma-interfaces are first identify pharma-interfaces (≥ 2 structural motifs) from a recognized by SRPmotif. The complexes with significant set of proteins which share similar binding environ- compound topology similarity are reserved. Then, the pro- ments. A pharma-interface is consists of a set of spa- tein-compound interaction similarity scores are measured. tially discontinuous pharma-motifs which surround the Consequently, the proteins and compounds which share ligand-binding site. In addition, compounds with similar similar protein-compound interactions are considered as a topology would bind to the same or similar proteins and Homopharma. Figure 1 shows the detailed steps to iden- have similar protein-compound interactions [3,4]. How- tify a Homopharma from a given complex by the following ever, few studies focused on exploring the relationships steps. between binding environments and protein-compound Step 1: Search candidates of a pharma-interface interactions. The atomic interactions between a com- SRPmotif is utilized to rapidly search potential targets pound and a protein are important when a compound having similar pharma-interfaces (Figure 1A). A pharma- target a protein. The combination of similar binding interface can be described as follows: (1) a pharma-interface environments and protein-compound interactions pro- is a conserved binding interface of multiple proteins which vides the opportunities to explore the molecular binding share similar interfaces and are often inhibited by similar mechanisms and is helpful for drug repurposing. compounds; (2) a pharma-interface consists of a set of spa- To address this issue, we proposed a new concept of tially discontinuous pharma-motifs; (3) a pharma-motif is a “Homopharma” to describe similar binding environments short conserved peptide forming a specific sub-interface and the relationships of interactions between proteins with interacting residues and specific physico-chemical and compounds. A Homopharma is a set of proteins properties. Each discontinuous pharma-motif of a query which have the conserved sub-binding environment at complex is translated to 1D sequence with 23 structural the protein-compound interfaces and a set of compounds alphabets using and a angles defined in the DSSP pro- with similar topology. Our results demonstrated that pro- gram [30] and applied to search against Protein Data Bank tein-compound complexes of a Homopharma perform (PDB) [31] by 3D-BLAST [32,33]. The candidate structures similar protein-compound interactions and comprise are then superimposed with the discontinuous pharma- conserved specific residues and important functional motifsofthequerycomplexbyDALI[34],whichisastruc-

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