Seyed Mohammad Javad Hashemi , Hossein Ghalehnoei , Ali Barzegar , Mehran Feizi-Dehnayebi , Javad Akhtari , Amir Mellati
{"title":"发现多靶点小分子和高效siRNA设计,通过局部治疗克服乳腺癌耐药","authors":"Seyed Mohammad Javad Hashemi , Hossein Ghalehnoei , Ali Barzegar , Mehran Feizi-Dehnayebi , Javad Akhtari , Amir Mellati","doi":"10.1016/j.jmgm.2025.109086","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we designed an efficient siRNA for PKMYT1 gene knockdown and evaluated the binding affinity of various natural small molecules to key proteins associated with breast cancer through molecular docking and molecular dynamics (MD) simulations. Subsequently, among these molecules, The small molecule, SCHEMBL7562664, was introduced as a “golden ligand” that showed potent multi‐target activity as an antagonist for aromatase, estrogen receptor α, HER2, and PARP10, and as an agonist for MT2 and STING. Next, MD simulations of six protein‐ golden ligand complexes (PDB IDs: 4QXQ, 5GS4, 5JL6, 5LX6, 6ME6, and 7PCD), performed with GROMACS over 100 ns at 298.15 K, provided valuable information about their structural dynamics. Analysis of the radius of gyration (Rg) revealed that, while five complexes (7PCD, 5GS4, 5LX6, 4QXQ, and 5JL6) maintained compact structures (Rg between 1.7 and 2.3 nm), the 6ME6 complex exhibited a more extended and flexible conformation (average Rg ∼3.4 nm). Complementary RMSD analysis confirmed that most complexes rapidly stabilized with minimal deviations (generally <0.3 nm), whereas the 6ME6 complex showed higher variability, reaching up to 0.67 nm. Furthermore, Binding free energy calculations using MM-GBSA and PBSA methods further supported these findings, with energies ranging from −21.45 ± 2.28 kcal/mol (5LX6) to −39.79 ± 1.34 kcal/mol (6ME6), indicating an optimal balance between intrinsic interactions and desolvation costs in the 6ME6 and 5JL6 systems. Based on DFT results, the golden ligand showed higher stability and lower reactivity compared to control ligands such as aromatase, tamoxifen, and dacomitinib, potentially leading to reduced off-target interactions and a more favorable safety profile. The integration of these data underscores the therapeutic potential of SCHEMBL7562664 as a multi-target agent for breast cancer, with promising pharmacokinetic properties that can be optimized for local treatment by incorporation into a 3D scaffold.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"140 ","pages":"Article 109086"},"PeriodicalIF":2.7000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In silico discovery of multi-target small molecules and efficient siRNA design to overcome drug resistance in breast cancer via local therapy\",\"authors\":\"Seyed Mohammad Javad Hashemi , Hossein Ghalehnoei , Ali Barzegar , Mehran Feizi-Dehnayebi , Javad Akhtari , Amir Mellati\",\"doi\":\"10.1016/j.jmgm.2025.109086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, we designed an efficient siRNA for PKMYT1 gene knockdown and evaluated the binding affinity of various natural small molecules to key proteins associated with breast cancer through molecular docking and molecular dynamics (MD) simulations. Subsequently, among these molecules, The small molecule, SCHEMBL7562664, was introduced as a “golden ligand” that showed potent multi‐target activity as an antagonist for aromatase, estrogen receptor α, HER2, and PARP10, and as an agonist for MT2 and STING. Next, MD simulations of six protein‐ golden ligand complexes (PDB IDs: 4QXQ, 5GS4, 5JL6, 5LX6, 6ME6, and 7PCD), performed with GROMACS over 100 ns at 298.15 K, provided valuable information about their structural dynamics. Analysis of the radius of gyration (Rg) revealed that, while five complexes (7PCD, 5GS4, 5LX6, 4QXQ, and 5JL6) maintained compact structures (Rg between 1.7 and 2.3 nm), the 6ME6 complex exhibited a more extended and flexible conformation (average Rg ∼3.4 nm). Complementary RMSD analysis confirmed that most complexes rapidly stabilized with minimal deviations (generally <0.3 nm), whereas the 6ME6 complex showed higher variability, reaching up to 0.67 nm. Furthermore, Binding free energy calculations using MM-GBSA and PBSA methods further supported these findings, with energies ranging from −21.45 ± 2.28 kcal/mol (5LX6) to −39.79 ± 1.34 kcal/mol (6ME6), indicating an optimal balance between intrinsic interactions and desolvation costs in the 6ME6 and 5JL6 systems. Based on DFT results, the golden ligand showed higher stability and lower reactivity compared to control ligands such as aromatase, tamoxifen, and dacomitinib, potentially leading to reduced off-target interactions and a more favorable safety profile. The integration of these data underscores the therapeutic potential of SCHEMBL7562664 as a multi-target agent for breast cancer, with promising pharmacokinetic properties that can be optimized for local treatment by incorporation into a 3D scaffold.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"140 \",\"pages\":\"Article 109086\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326325001469\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325001469","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
In silico discovery of multi-target small molecules and efficient siRNA design to overcome drug resistance in breast cancer via local therapy
In this study, we designed an efficient siRNA for PKMYT1 gene knockdown and evaluated the binding affinity of various natural small molecules to key proteins associated with breast cancer through molecular docking and molecular dynamics (MD) simulations. Subsequently, among these molecules, The small molecule, SCHEMBL7562664, was introduced as a “golden ligand” that showed potent multi‐target activity as an antagonist for aromatase, estrogen receptor α, HER2, and PARP10, and as an agonist for MT2 and STING. Next, MD simulations of six protein‐ golden ligand complexes (PDB IDs: 4QXQ, 5GS4, 5JL6, 5LX6, 6ME6, and 7PCD), performed with GROMACS over 100 ns at 298.15 K, provided valuable information about their structural dynamics. Analysis of the radius of gyration (Rg) revealed that, while five complexes (7PCD, 5GS4, 5LX6, 4QXQ, and 5JL6) maintained compact structures (Rg between 1.7 and 2.3 nm), the 6ME6 complex exhibited a more extended and flexible conformation (average Rg ∼3.4 nm). Complementary RMSD analysis confirmed that most complexes rapidly stabilized with minimal deviations (generally <0.3 nm), whereas the 6ME6 complex showed higher variability, reaching up to 0.67 nm. Furthermore, Binding free energy calculations using MM-GBSA and PBSA methods further supported these findings, with energies ranging from −21.45 ± 2.28 kcal/mol (5LX6) to −39.79 ± 1.34 kcal/mol (6ME6), indicating an optimal balance between intrinsic interactions and desolvation costs in the 6ME6 and 5JL6 systems. Based on DFT results, the golden ligand showed higher stability and lower reactivity compared to control ligands such as aromatase, tamoxifen, and dacomitinib, potentially leading to reduced off-target interactions and a more favorable safety profile. The integration of these data underscores the therapeutic potential of SCHEMBL7562664 as a multi-target agent for breast cancer, with promising pharmacokinetic properties that can be optimized for local treatment by incorporation into a 3D scaffold.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.