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  1. Recent progress in small molecule agents for the targeted therapy of triple-negative breast cancer
    Islam R, Lam KW
    Eur J Med Chem, 2020 Dec 01;207:112812.
    PMID: 32937283 DOI: 10.1016/j.ejmech.2020.112812
    Triple-negative breast cancer (TNBC) is the most aggressive type of cancer, with a high risk of death on recurrence. To date, there is a lack of approved targeted agents for the treatment of the disease. Patients with TNBC continue to depend on surgery, chemotherapy, and radiotherapy, all of which have a wide side effect profile. In the present review, we highlight the current progress and exciting developments in the small-molecule targeted therapy for the treatment of TNBC. Finally, we also discuss the prospect of combining targeted therapy and immunotherapy for the effective treatment of TNBC.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
  2. Quantum probability ranking principle for ligand-based virtual screening
    Al-Dabbagh MM, Salim N, Himmat M, Ahmed A, Saeed F
    J Comput Aided Mol Des, 2017 Apr;31(4):365-378.
    PMID: 28220440 DOI: 10.1007/s10822-016-0003-4
    Chemical libraries contain thousands of compounds that need screening, which increases the need for computational methods that can rank or prioritize compounds. The tools of virtual screening are widely exploited to enhance the cost effectiveness of lead drug discovery programs by ranking chemical compounds databases in decreasing probability of biological activity based upon probability ranking principle (PRP). In this paper, we developed a novel ranking approach for molecular compounds inspired by quantum mechanics, called quantum probability ranking principle (QPRP). The QPRP ranking criteria would make an attempt to draw an analogy between the physical experiment and molecular structure ranking process for 2D fingerprints in ligand based virtual screening (LBVS). The development of QPRP criteria in LBVS has employed the concepts of quantum at three different levels, firstly at representation level, this model makes an effort to develop a new framework of molecular representation by connecting the molecular compounds with mathematical quantum space. Secondly, estimate the similarity between chemical libraries and references based on quantum-based similarity searching method. Finally, rank the molecules using QPRP approach. Simulated virtual screening experiments with MDL drug data report (MDDR) data sets showed that QPRP outperformed the classical ranking principle (PRP) for molecular chemical compounds.
    Matched MeSH terms: Small Molecule Libraries/pharmacology
  3. Development of small molecule inhibitors targeting TGF-β ligand and receptor: Structures, mechanism, preclinical studies and clinical usage
    Wang H, Chen M, Sang X, You X, Wang Y, Paterson IC, et al.
    Eur J Med Chem, 2020 Apr 01;191:112154.
    PMID: 32092587 DOI: 10.1016/j.ejmech.2020.112154
    Transforming growth factor-β (TGF-β) is a member of a superfamily of pleiotropic proteins that regulate multiple cellular processes such as growth, development and differentiation. Following binding to type I and II TGF-β serine/threonine kinase receptors, TGF-β activates downstream signaling cascades involving both SMAD-dependent and -independent pathways. Aberrant TGF-β signaling is associated with a variety of diseases, such as fibrosis, cardiovascular disease and cancer. Hence, the TGF-β signaling pathway is recognized as a potential drug target. Various organic molecules have been designed and developed as TGF-β signaling pathway inhibitors and they function by either down-regulating the expression of TGF-β or by inhibiting the kinase activities of the TGF-β receptors. In this review, we discuss the current status of research regarding organic molecules as TGF-β inhibitors, focusing on the biological functions and the binding poses of compounds that are in the market or in the clinical or pre-clinical phases of development.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
  4. Targeting Legumain As a Novel Therapeutic Strategy in Cancers
    Mai CW, Chung FF, Leong CO
    Curr Drug Targets, 2017;18(11):1259-1268.
    PMID: 27993111 DOI: 10.2174/1389450117666161216125344
    BACKGROUND: Recent reports indicate that the tumor microenvironment plays a pivotal role in cancer development and progression, leading to a paradigm shift in the way cancer is studied and targeted. In contrast to traditional approaches, where only tumor cells are targeted for the treatment, an emerging approach is to develop therapeutics which target the tumor microenvironment while complementing or enhancing current treatments. Legumain (LGMN) is a newly identified target which is highly expressed in the tumor microenvironment and in tumor cells, and holds potential both as a biomarker and as a therapeutic target.

    CONCLUSION: This review will be the first to summarize the expression of LGMN in common cancers, as well as its roles in tumorigenesis and metastasis. This review also discusses the current developments and future prospects of targeting LGMN through the development of DNA vaccines, azopeptides, small molecule inhibitors and LGMN activated prodrugs, highlighting the potential of LGMN as a target for cancer therapeutics.

    Matched MeSH terms: Small Molecule Libraries/pharmacology
  5. Synthesis: Small library of hybrid scaffolds of benzothiazole having hydrazone and evaluation of their β-glucuronidase activity
    Taha M, Arbin M, Ahmat N, Imran S, Rahim F
    Bioorg Chem, 2018 04;77:47-55.
    PMID: 29331764 DOI: 10.1016/j.bioorg.2018.01.002
    Due to the great biological importance of β-glucuronidase inhibitors, here in this study, we have synthesized a library of novel benzothiazole derivatives (1-30), characterized by different spectroscopic methods and evaluated for β-glucuronidase inhibitory potential. Among the series sixteen compounds i.e.1-6, 8, 9, 11, 14, 15, 20-23 and 26 showed outstanding inhibitory potential with IC50 value ranging in between 16.50 ± 0.26 and 59.45 ± 1.12 when compared with standard d-Saccharic acid 1,4-lactone (48.4 ± 1.25 µM). Except compound 8 and 23 all active analogs showed better potential than the standard. Structure activity relationship has been established.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
  6. Fulltext γ-Secretase Inhibitors and Modulators Induce Distinct Conformational Changes in the Active Sites of γ-Secretase and Signal Peptide Peptidase
    Gertsik N, Chau DM, Li YM
    ACS Chem. Biol., 2015 Aug 21;10(8):1925-31.
    PMID: 26030233 DOI: 10.1021/acschembio.5b00321
    γ-Secretase inhibitors (GSIs) and modulators (GSMs) are at the frontline of cancer and Alzheimer's disease research, respectively. While both are therapeutically promising, not much is known about their interactions with proteins other than γ-secretase. Signal peptide peptidase (SPP), like γ-secretase, is a multispan transmembrane aspartyl protease that catalyzes regulated intramembrane proteolysis. We used active site-directed photophore walking probes to study the effects of different GSIs and GSMs on the active sites of γ-secretase and SPP and found that nontransition state GSIs inhibit labeling of γ-secretase by activity-based probes but enhance labeling of SPP. The opposite is true of GSMs, which have little effect on the labeling of γ-secretase but diminish labeling of SPP. These results demonstrate that GSIs and GSMs are altering the structure of not only γ-secretase but also SPP, leading to potential changes in enzyme activity and specificity that may impact the clinical outcomes of these molecules.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
  7. Pro-apoptotic carboxamide analogues of natural fislatifolic acid targeting Mcl-1 and Bcl-2
    Gapil Tiamas S, Daressy F, Abou Samra A, Bignon J, Steinmetz V, Litaudon M, et al.
    Bioorg Med Chem Lett, 2020 04 01;30(7):127003.
    PMID: 32035700 DOI: 10.1016/j.bmcl.2020.127003
    A library of 26 novel carboxamides deriving from natural fislatifolic acid has been prepared. The synthetic strategy involved a bio-inspired Diels-Alder cycloaddition, followed by functionalisations of the carbonyl moiety. All the compounds were evaluated on Bcl-xL, Mcl-1 and Bcl-2 proteins. In this series of cyclohexenyl chalcone analogues, six compounds behaved as dual Bcl-xL/Mcl-1 inhibitors in micromolar range and one exhibited sub-micromolar affinities toward Mcl-1 and Bcl-2. The most potent compounds evaluated on A549 and MCF7 cancer cell lines showed moderate cytotoxicities.
    Matched MeSH terms: Small Molecule Libraries/pharmacology
  8. Multi-step molecular docking and dynamics simulation-based screening of large antiviral specific chemical libraries for identification of Nipah virus glycoprotein inhibitors
    Kalbhor MS, Bhowmick S, Alanazi AM, Patil PC, Islam MA
    Biophys Chem, 2021 03;270:106537.
    PMID: 33450550 DOI: 10.1016/j.bpc.2020.106537
    Nipah virus (NiV) infections are highly contagious and can cause severe febrile encephalitis. An outbreak of NiV infection has reported high mortality rates in Southeast Asian countries including Bangladesh, East Timor, Malaysia, Papua New Guinea, Vietnam, Cambodia, Indonesia, Madagascar, Philippines, Thailand and India. Considering the high risk for an epidemic outbreak, the World Health Organization (WHO) declared NiV as an emerging priority pathogen. However, there are no effective therapeutics or any FDA approved drugs available for the treatment of this infection. Among the known nine proteins of NiV, glycoprotein plays an important role in initiating the entry of viruses and attaching to the host cell receptors. Herein, three antiviral databases consisting of 79,892 chemical entities have been computationally screened against NiV glycoprotein (NiV-G). Particularly, multi-step molecular docking followed by extensive molecular binding interactions analyses, binding free energy estimation, in silico pharmacokinetics, synthetic accessibility and toxicity profile evaluations have been carried out for initial identification of potential NiV-G inhibitors. Further, molecular dynamics (MD) simulation has been performed to understand the dynamic properties of NiV-G protein-bound with proposed five inhibitors (G1-G5) and their interactions behavior, and any conformational changes in NiV-G protein during simulations. Moreover, Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) based binding free energies (∆G) has been calculated from all MD simulation trajectories to understand the energy contribution of each proposed compound in maintaining and stabilizing the complex binding interactions with NiV-G protein. Proposed compounds showed high negative ∆G values ranging from -166.246 to -226.652 kJ/mol indicating a strong affinity towards the NiV-G protein.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
  9. Advances in the Generation of Functional β-cells from Induced Pluripotent Stem Cells As a Cure for Diabetes Mellitus
    Kalra K, Chandrabose ST, Ramasamy TS, Kasim NHBA
    Curr Drug Targets, 2018;19(13):1463-1477.
    PMID: 29874998 DOI: 10.2174/1389450119666180605112917
    Diabetes mellitus is one of the leading causes of death worldwide. Loss and functional failure of pancreatic β-cells, the parenchyma cells in the islets of Langerhans, progress diabetes mellitus. The increasing incidence of this metabolic disorder necessitates efficient strategies to produce functional β-cells for treating diabetes mellitus. Human induced Pluripotent Stem Cells (hiPSC), hold potential for treating diabetes ownig to their self-renewal capacity and the ability to differentiate into β- cells. iPSC technology also provides unlimited starting material to generate differentiated cells for regenerative applications. Progress has also been made in establishing in-vitro culture protocols to yield definitive endoderm, pancreatic endoderm progenitor cells and β-cells via different reprogramming strategies and growth factor supplementation. However, these generated β-cells are still immature, lack functional characteristics and exhibit lower capability in reversing the diseases conditions. Current methods employed to generate mature and functional β-cells include; use of small and large molecules to enhance the reprogramming and differentiation efficiency, 3D culture systems to improve the functional properties and heterogeneity of differentiated cells. This review details recent advancements in the generation of mature β-cells by reprogramming stem cells into iPSCs that are further programmed to β-cells. It also provides deeper insight into current reprogramming protocols and their efficacy, focusing on the underlying mechanism of chemical-based approach to generate iPSCs. Furthermore, we have highlighted the recent differentiation strategies both in-vitro and in-vivo to date and the future prospects in the generation of mature β-cells.
    Matched MeSH terms: Small Molecule Libraries/pharmacology
  10. Synthesis of small molecules targeting paclitaxel-induced MyD88 expression in triple-negative breast cancer cell lines
    Poh Yen K, Stanslas J, Zhang T, Li H, Wang X, Kok Meng C, et al.
    Bioorg Med Chem, 2021 11 01;49:116442.
    PMID: 34600241 DOI: 10.1016/j.bmc.2021.116442
    Acquired paclitaxel (PTX) chemoresistance in triple-negative breast cancer (TNBC) can be inferred from the overexpression of toll-like receptor 4 (TLR4) and myeloid differentiation primary response 88 (MyD88) proteins and the activation of the TLR4/MyD88 cascading signalling pathway. Finding a new inhibitor that can attenuate the activation of this pathway is a novel strategy for reducing PTX chemoresistance. In this study, a series of small molecule compounds were synthesised and tested in combination with PTX against TNBC cells. The trimethoxy-substituted compound significantly decreased MyD88 overexpression and improved PTX activity in MDA-MB-231TLR4+ cells but not in HCCTLR4- cells. On the contrary, the trifluoromethyl-substituted compound with PTX synergistically improved the growth inhibition in both TNBC subtypes. The fluorescence titrations indicated that both compounds could bind with MD2 with good and comparable binding affinities. This was further supported by docking analysis, in which both compounds fit perfectly well and form some critical binding interactions with MD2, an essential lipid-binding accessory to TLR4 involved in activating the TLR-4/MyD88-dependent pathway.
    Matched MeSH terms: Small Molecule Libraries/pharmacology*
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