scholarly journals InflamNat: Web-Based Database and Predictor of Anti-Inflammatory Natural Products

2021 ◽  
Author(s):  
Ruihan Zhang ◽  
Shoupeng Ren ◽  
Qi Dai ◽  
Tianze Shen ◽  
Xiaoli Li ◽  
...  
Keyword(s):  
Natural Products ◽  
Structural Features ◽  
Sequential Data ◽  
Web Based ◽  
Synthetic Compounds ◽  
Predictive Tools ◽  
Natural Product Research ◽  
Anti Inflammatory ◽  
Transformer Model ◽  
User Friendly

Abstract Natural products (NPs) are a valuable source for anti-inflammatory drug discovery. However, they are limited by the unpredictability of the structures and functions. Therefore, computational and data-driven pre-evaluation could enable more efficient NP-inspired drug development. Since NPs possess structural features that differ from synthetic compounds, models trained with synthetic compounds may not perform well with NPs. There is also an urgent demand for well-curated databases and user-friendly predictive tools. We presented a comprehensive online web platform (InflamNat, http://www.inflamnat.com/ or http://39.104.56.4/) for anti-inflammatory natural product research. InflamNat is a database containing the physicochemical properties, cellular anti-inflammatory bioactivities, and molecular targets of 1351 NPs that tested on their anti-inflammatory activities. InflamNat provides two machine learning-based predictive tools specifically designed for NPs that (a) predict the anti-inflammatory activity of NPs, and (b) predict the compound-target relationship for compounds and targets collected in the database but lacking existing relationship data. A novel multi-tokenization transformer model (MTT) was proposed as the sequential encoder for both predictive tools to obtain a high-quality representation of sequential data. Experimental results demonstrated that the proposed predictive tools achieved the desired performance in terms of AUC.

scholarly journals DNAproDB: an expanded database and web-based tool for structural analysis of DNA–protein complexes

2019 ◽  
Author(s):  
Jared M Sagendorf ◽  
Nicholas Markarian ◽  
Helen M Berman ◽  
Remo Rohs
Keyword(s):  
Structural Analysis ◽  
Protein Complexes ◽  
Structural Data ◽  
Data Bank ◽  
Structural Features ◽  
Analysis Tool ◽  
Web Based ◽  
Initial Release ◽  
Data Files ◽  
User Friendly

Abstract DNAproDB (https://dnaprodb.usc.edu) is a web-based database and structural analysis tool that offers a combination of data visualization, data processing and search functionality that improves the speed and ease with which researchers can analyze, access and visualize structural data of DNA–protein complexes. In this paper, we report significant improvements made to DNAproDB since its initial release. DNAproDB now supports any DNA secondary structure from typical B-form DNA to single-stranded DNA to G-quadruplexes. We have updated the structure of our data files to support complex DNA conformations, multiple DNA–protein complexes within a DNAproDB entry and model indexing for analysis of ensemble data. Support for chemically modified residues and nucleotides has been significantly improved along with the addition of new structural features, improved structural moiety assignment and use of more sequence-based annotations. We have redesigned our report pages and search forms to support these enhancements, and the DNAproDB website has been improved to be more responsive and user-friendly. DNAproDB is now integrated with the Nucleic Acid Database, and we have increased our coverage of available Protein Data Bank entries. Our database now contains 95% of all available DNA–protein complexes, making our tools for analysis of these structures accessible to a broad community.

NP Navigator: A New Online Tool for the Exploration of the Natural Products Chemical Space

2021 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Yuliana Zabolotna ◽  
Peter Ertl ◽  
Dragos Horvath ◽  
Fanny Bonachera ◽  
Gilles Marcou ◽  
...  
Keyword(s):  
Natural Products ◽  
Biological Activity ◽  
High Selectivity ◽  
Chemical Space ◽  
Structural Features ◽  
Color Code ◽  
Online Tool ◽  
Wide Range ◽  
User Friendly ◽  
High Diversity

Over the last few billion years, countless organisms populating our planet have produced an extensive reserve of very diverse chemicals called natural products (NPs). Over time, these compounds have evolved to exhibit a wide range of bioactivity and high selectivity in different organisms. That makes them an extremely important source of potential drugs. However, considering the number of reported NPs and their high diversity, it becomes hard to explore the respective chemical space in drug design. In order to simplify this task, we have developed NP Navigator, a free, user friendly online tool allowing the navigation and analysis of the chemical space of NPs and NP-like compounds [1,2]. The basis of this tool is a hierarchical ensemble of 241 Generative Topographic Maps (GTM) [3,4], visualizing chemical space of NPs from the COlleCtion of Open Natural ProductTs (COCONUT) [5], molecules with some biological activity from ChEMBL [6], and purchasable compounds from ZINC [7]. NP Navigator can be used for an efficient analysis of various aspects of NPs, including calculated properties, chemotype distribution, biological activity, and commercial availability of NPs. Users can browse through hundreds of thousands of molecules from COCONUT, ZINC, and ChEMBL, selecting a zone of interest based on the color code of the maps, which in turn corresponds to specific values of visualized properties. In addition, it is possible to project several external molecules—“chemical trackers”—to trace regions of the NP chemical space containing compounds with desired structural features. In such a manner, the NP Navigator allows searching for NP and NP-like analogues of user-provided compounds. This study was previously published in Molecular Informatics (10.1002/minf.202100068) [1].

Anti-inflammatory and anti-tubercular properties screening of natural products from Plectranthus species

2017 ◽  
Author(s):  
J Marçalo ◽  
C Garcia ◽  
L Custódio ◽  
M Nicolai ◽  
C Reis ◽  
...  
Keyword(s):  
Natural Products ◽  
Anti Inflammatory

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

Web-Based Peer and Self-Assessment System Design and Development for Elementary School Students

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mehmet EMIN KORTAK
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Primary Schools ◽  
Peer Assessment ◽  
Assessment System ◽  
Assessment Process ◽  
School Students ◽  
Self Assessment ◽  
Web Based ◽  
User Friendly

This research aimed at designing and improving the web-based integrated peer and self- assessment. WesPASS (web-based peer-assessment system), developed in this research, allows students to assess their own or their peers’ performance and project assignments and to report about the result of these assessments so that they correct their assignments. This study employed design-based research. The participants included 102 fourth grade primary school students and their 4 teachers from 2 state and 2 private primary schools in Ankara, Kecioren (Turkey) who employed the system and were engaged in a questionnaire survey to assess its quality. The findings were analyzed through quantitative data analysis. The findings revealed that the system can be used by elementary school students for peer and self-assessment system. The participants stated that WesPASS is simple and user-friendly, and it accelerates the assessment process by employing information technology and allows to share opinions 

Anti-Inflammatory Properties of Plant Derived Natural Products – A Systematic Review

2019 ◽  
Vol 26 (24) ◽  
pp. 4506-4536 ◽  
Author(s):  
Iris E. Allijn ◽  
René P. Brinkhuis ◽  
Gert Storm ◽  
Raymond M. Schiffelers
Keyword(s):  
Systematic Review ◽  
Natural Products ◽  
Positive Control ◽  
Therapeutic Effects ◽  
Reference Compound ◽  
Individual Molecular Species ◽  
The Past ◽  
Anti Inflammatory ◽  
The Individual ◽  
Natural Medicines

Traditionally, natural medicines have been administered as plant extracts, which are composed of a mixture of molecules. The individual molecular species in this mixture may or may not contribute to the overall medicinal effects and some may even oppose the beneficial activity of others. To better control therapeutic effects, studies that characterized specific molecules and describe their individual activity that have been performed over the past decades. These studies appear to underline that natural products are particularly effective as antioxidants and anti-inflammatory agents. In this systematic review we aimed to identify potent anti-inflammatory natural products and relate their efficacy to their chemical structure and physicochemical properties. To identify these compounds, we performed a comprehensive literature search to find those studies, in which a dose-response description and a positive control reference compound was used to benchmark the observed activity. Of the analyzed papers, 7% of initially selected studies met these requirements and were subjected to further analysis. This analysis revealed that most selected natural products indeed appeared to possess anti-inflammatory activities, in particular anti-oxidative properties. In addition, 14% of the natural products outperformed the remaining natural products in all tested assays and are attractive candidates as new anti-inflammatory agents.

Natural Anti-inflammatory compounds as Drug candidates in Alzheimer’s disease

2020 ◽  
Vol 27 ◽  
Author(s):  
Reyaz Hassan Mir ◽  
Abdul Jalil Shah ◽  
Roohi Mohi-ud-din ◽  
Faheem Hyder Potoo ◽  
Mohd. Akbar Dar ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Natural Products ◽  
Protective Action ◽  
New Drugs ◽  
Huperzine A ◽  
Brain Disorder ◽  
Anti Inflammatory

: Alzheimer's disease (AD) is a chronic neurodegenerative brain disorder characterized by memory impairment, dementia, oxidative stress in elderly people. Currently, only a few drugs are available in the market with various adverse effects. So to develop new drugs with protective action against the disease, research is turning to the identification of plant products as a remedy. Natural compounds with anti-inflammatory activity could be good candidates for developing effective therapeutic strategies. Phytochemicals including Curcumin, Resveratrol, Quercetin, Huperzine-A, Rosmarinic acid, genistein, obovatol, and Oxyresvertarol were reported molecules for the treatment of AD. Several alkaloids such as galantamine, oridonin, glaucocalyxin B, tetrandrine, berberine, anatabine have been shown anti-inflammatory effects in AD models in vitro as well as in-vivo. In conclusion, natural products from plants represent interesting candidates for the treatment of AD. This review highlights the potential of specific compounds from natural products along with their synthetic derivatives to counteract AD in the CNS.

Potential for Treatment of Neurodegenerative Diseases with Natural Products or Synthetic Compounds that Stabilize Microtubules

2020 ◽  
Vol 26 (35) ◽  
pp. 4362-4372
Author(s):  
John H. Miller ◽  
Viswanath Das
Keyword(s):  
Natural Products ◽  
Neurodegenerative Diseases ◽  
In Vivo Models ◽  
Synthetic Compounds ◽  
Stabilizing Agents ◽  
Animal Models Of Disease ◽  
Model Studies ◽  
Models Of Disease

No effective therapeutics to treat neurodegenerative diseases exist, despite significant attempts to find drugs that can reduce or rescue the debilitating symptoms of tauopathies such as Alzheimer’s disease, Parkinson’s disease, frontotemporal dementia, amyotrophic lateral sclerosis, or Pick’s disease. A number of in vitro and in vivo models exist for studying neurodegenerative diseases, including cell models employing induced-pluripotent stem cells, cerebral organoids, and animal models of disease. Recent research has focused on microtubulestabilizing agents, either natural products or synthetic compounds that can prevent the axonal destruction caused by tau protein pathologies. Although promising results have come from animal model studies using brainpenetrant natural product microtubule-stabilizing agents, such as paclitaxel analogs that can access the brain, epothilones B and D, and other synthetic compounds such as davunetide or the triazolopyrimidines, early clinical trials in humans have been disappointing. This review aims to summarize the research that has been carried out in this area and discuss the potential for the future development of an effective microtubule stabilizing drug to treat neurodegenerative disease.

scholarly journals The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 113
Author(s):  
Julia Koblitz ◽  
Sabine Will ◽  
S. Riemer ◽  
Thomas Ulas ◽  
Meina Neumann-Schaal ◽  
...  
Keyword(s):  
Metabolic Networks ◽  
Point Of View ◽  
Use Cases ◽  
Mathematical Methods ◽  
State Behavior ◽  
Web Based ◽  
Research Fields ◽  
Balance Analysis ◽  
Metabolic Models ◽  
User Friendly

Genome-scale metabolic models are of high interest in a number of different research fields. Flux balance analysis (FBA) and other mathematical methods allow the prediction of the steady-state behavior of metabolic networks under different environmental conditions. However, many existing applications for flux optimizations do not provide a metabolite-centric view on fluxes. Metano is a standalone, open-source toolbox for the analysis and refinement of metabolic models. While flux distributions in metabolic networks are predominantly analyzed from a reaction-centric point of view, the Metano methods of split-ratio analysis and metabolite flux minimization also allow a metabolite-centric view on flux distributions. In addition, we present MMTB (Metano Modeling Toolbox), a web-based toolbox for metabolic modeling including a user-friendly interface to Metano methods. MMTB assists during bottom-up construction of metabolic models by integrating reaction and enzymatic annotation data from different databases. Furthermore, MMTB is especially designed for non-experienced users by providing an intuitive interface to the most commonly used modeling methods and offering novel visualizations. Additionally, MMTB allows users to upload their models, which can in turn be explored and analyzed by the community. We introduce MMTB by two use cases, involving a published model of Corynebacterium glutamicum and a newly created model of Phaeobacter inhibens.

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