scholarly journals In Silico Identification and Biological Evaluation of Antioxidant Food Components Endowed with IX and XII hCA Inhibition

2020 ◽  
Author(s):  
Giosuè Costa ◽  
Annalisa Maruca ◽  
Roberta Rocca ◽  
Francesca Alessandra Ambrosio ◽  
Emanuela Berrino ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Biological Evaluation ◽  
Invasion And Metastasis ◽  
Biological Assays ◽  
Food Components ◽  
Tumor Environment ◽  
Dual Inhibitors ◽  
In Silico Identification ◽  
Dehydrodiconiferyl Alcohol

The tumour-associated isoenzymes, hCA IX and hCA XII catalyze the hydration of carbon dioxide to bicarbonate and protons. These isoforms are highly overexpressed in many types of cancer, where they contribute for the acidification of the tumor environment promoting the tumor cell invasion and metastasis. In this work, in order to identify novel dual hCA IX and XII inhibitors, virtual screening techniques and biological assays were combined. A structure based virtual screening towards hCA IX and XII was performed using a database of approximately 26000 natural compounds. The best shared hits were submitted to a thermodynamic analysis and 3 promising best hits were identified and evaluated in terms of their hCA IX and XII inhibitor activity. In vitro biological assays are in line with the theoretical studies and revealed that Syringin, Lithospermic acid, and (-)- Dehydrodiconiferyl alcohol behave as good hCA IX and hCA XII dual inhibitors.

scholarly journals In Silico Identification and Biological Evaluation of Antioxidant Food Components Endowed with Human Carbonic Anhydrase IX and XII Inhibition

Antioxidants ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 775 ◽  
Author(s):  
Giosuè Costa ◽  
Annalisa Maruca ◽  
Roberta Rocca ◽  
Francesca Alessandra Ambrosio ◽  
Emanuela Berrino ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Biological Evaluation ◽  
Invasion And Metastasis ◽  
Biological Assays ◽  
Food Components ◽  
Tumor Environment ◽  
Dual Inhibitors ◽  
In Silico Identification ◽  
Dehydrodiconiferyl Alcohol

The tumor-associated isoenzymes hCA IX and hCA XII catalyze the hydration of carbon dioxide to bicarbonate and protons. These isoforms are highly overexpressed in many types of cancer, where they contribute to the acidification of the tumor environment, promoting tumor cell invasion and metastasis. In this work, in order to identify novel dual hCA IX and XII inhibitors, virtual screening techniques and biological assays were combined. A structure-based virtual screening towards hCA IX and XII was performed using a database of approximately 26,000 natural compounds. The best shared hits were submitted to a thermodynamic analysis and three promising best hits were identified and evaluated in terms of their hCA IX and XII inhibitor activity. In vitro biological assays were in line with the theoretical studies and revealed that syringin, lithospermic acid, and (-)-dehydrodiconiferyl alcohol behave as good hCA IX and hCA XII dual inhibitors.

scholarly journals Discovery of New Selective Butyrylcholinesterase (BChE) Inhibitors with Anti-Aβ Aggregation Activity: Structure-Based Virtual Screening, Hit Optimization and Biological Evaluation

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2568 ◽  
Author(s):  
Cheng-Shi Jiang ◽  
Yong-Xi Ge ◽  
Zhi-Qiang Cheng ◽  
Yin-Yin Wang ◽  
Hong-Rui Tao ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Cell Model ◽  
Neuroblastoma Cells ◽  
Biological Evaluation ◽  
Dynamics Simulation ◽  
Dependent Manner ◽  
Binding Modes ◽  
Catalytic Active Site ◽  
Aggregation Activity

In this study, a series of selective butyrylcholinesterase (BChE) inhibitors was designed and synthesized from the structural optimization of hit 1, a 4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)benzoic acid derivative identified by virtual screening our compound library. The in vitro enzyme assay results showed that compounds 9 ((4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)phenyl)(pyrrolidin-1-yl)methanone) and 23 (N-(2-bromophenyl)-4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)benzamide) displayed improved BChE inhibitory activity and good selectivity towards BChE versus AChE. Their binding modes were probed by molecular docking and further validated by molecular dynamics simulation. Kinetic analysis together with molecular modeling studies suggested that these derivatives could target both the catalytic active site (CAS) and peripheral anionic site (PAS) of BChE. In addition, the selected compounds 9 and 23 displayed anti-Aβ1–42 aggregation activity in a dose-dependent manner, and they did not show obvious cytotoxicity towards SH-SY5Y neuroblastoma cells. Also, both compounds showed significantly protective activity against Aβ1-42-induced toxicity in a SH-SY5Y cell model. The present results provided a new valuable chemical template for the development of selective BChE inhibitors.

scholarly journals Discovery of novel potential selective HDAC8 inhibitors by combine ligand-based, structure-based virtual screening and in-vitro biological evaluation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sudhan Debnath ◽  
Tanusree Debnath ◽  
Samhita Bhaumik ◽  
Swapan Majumdar ◽  
Arunasree M. Kalle ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Predictive Ability ◽  
3D Qsar ◽  
Qsar Model ◽  
Acid Group ◽  
Biological Evaluation ◽  
In Silico Admet ◽  
Glide Docking ◽  
Hdac8 Inhibitors

AbstractNeuroblastoma is the most common extracranial solid tumor found in children and survival rate is extremely meager. HDAC8, a class I zinc-dependent enzyme, is a potential drug target for treatment of neuroblastoma and T cell lymphoma. Most of the HDAC8 inhibitors discovered till date contains a hydroxamic acid group which acts as a zinc binding group. The high binding affinity to the zinc and other ions results in adverse effects. Also, the non-selective inhibition of HDACs cause a variety of side effects. The objective of this is to identify structurally diverse, non-hydroxamate, novel, potential and selective HDAC8 inhibitors. A number of five featured pharmacophore hypotheses were generated using 32 known selective HDAC8 inhibitors. The hypotheses ADDRR.4 were selected for building 3D QSAR model. This model has an excellent correlation coefficient and good predictive ability, which was employed for virtual screening of Phase database containing 4.3 × 106 molecules. The resultant hits with fitness score >1.0 were optimized using in-silico ADMET (absorption, distribution, metabolism,  excretion, and toxicity) and XP glide docking studies. On the basis of pharmacophore matching, interacting amino acid residues, XP glide score, more affinity towards HDAC8 and less affinity towards other HDACs, and ADME results five hits- SD-01, SD-02, SD-03, SD-04 and SD-05 with new structural scaffolds,  non-hydroxamate were selected for in vitro activity study. SD-01 and SD-02 were found to be active in the nanomolar (nM) range. SD-01 had considerably good selectivity for HDAC8 over HDAC6 and SD-02 had marginal selectivity for HDAC6 over HDAC8. The compounds SD-01 and SD-02 were found to inhibit HDAC8 at concentrations (IC50) 9.0 nM and 2.7 nM, respectively.

scholarly journals Potential Novel Thioether-Amide or Guanidine-Linker Class of SARS-CoV-2 Virus RNA-Dependent RNA Polymerase Inhibitors Identified by High-Throughput Virtual Screening Coupled to Free-Energy Calculations

2021 ◽  
Vol 22 (20) ◽  
pp. 11143
Author(s):  
Marko Jukič ◽  
Dušanka Janežič ◽  
Urban Bren
Keyword(s):  
Virtual Screening ◽  
Rna Polymerase ◽  
High Throughput ◽  
Biological Evaluation ◽  
Free Energy Calculations ◽  
Rna Dependent Rna Polymerase ◽  
Linear Interaction ◽  
Energy Calculations ◽  
High Throughput Virtual Screening

SARS-CoV-2, or severe acute respiratory syndrome coronavirus 2, represents a new pathogen from the family of Coronaviridae that caused a global pandemic of COVID-19 disease. In the absence of effective antiviral drugs, research of novel therapeutic targets such as SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) becomes essential. This viral protein is without a human counterpart and thus represents a unique prospective drug target. However, in vitro biological evaluation testing on RdRp remains difficult and is not widely available. Therefore, we prepared a database of commercial small-molecule compounds and performed an in silico high-throughput virtual screening on the active site of the SARS-CoV-2 RdRp using ensemble docking. We identified a novel thioether-amide or guanidine-linker class of potential RdRp inhibitors and calculated favorable binding free energies of representative hits by molecular dynamics simulations coupled with Linear Interaction Energy calculations. This innovative procedure maximized the respective phase-space sampling and yielded non-covalent inhibitors representing small optimizable molecules that are synthetically readily accessible, commercially available as well as suitable for further biological evaluation and mode of action studies.

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