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      Potent Bioactive Compounds From Seaweed Waste to Combat Cancer Through Bioinformatics Investigation

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          Abstract

          The seaweed industries generate considerable amounts of waste that must be appropriately managed. This biomass from marine waste is a rich source of high-value bioactive compounds. Thus, this waste can be adequately utilized by recovering the compounds for therapeutic purposes. Histone deacetylases (HDACs) are key epigenetic regulators established as one of the most promising targets for cancer chemotherapy. In the present study, our objective is to find the HDAC 2 inhibitor. We performed top-down in silico methodologies to identify potential HDAC 2 inhibitors by screening compounds from edible seaweed waste. One hundred ninety-three ( n = 193) compounds from edible seaweeds were initially screened and filtered with drug-likeness properties using SwissADME. After that, the filtered compounds were followed to further evaluate their binding potential with HDAC 2 protein by using Glide high throughput virtual screening (HTVS), standard precision (SP), extra precision (XP), and quantum polarized ligand docking (QPLD). One compound with higher negative binding energy was selected, and to validate the binding mode and stability of the complex, molecular dynamics (MD) simulations using Desmond were performed. The complex-binding free energy calculation was performed using molecular mechanics-generalized born surface area (MM-GBSA) calculation. Post-MD simulation analyses such as PCA, DCCM, and free energy landscape were also evaluated. The quantum mechanical and electronic properties of the potential bioactive compounds were assessed using the density functional theory (DFT) study. These findings support the use of marine resources like edible seaweed waste for cancer drug development by using its bioactive compounds. The obtained results encourage further in vitro and in vivo research. Our in silico findings show that the compound has a high binding affinity for the catalytic site of the HDAC 2 protein and has drug-likeness properties, and can be utilized in drug development against cancer.

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          Most cited references74

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            Comparison of simple potential functions for simulating liquid water

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              SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules

              To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distribution, metabolism and excretion (ADME) increasingly earlier in the discovery process, at a stage when considered compounds are numerous but access to the physical samples is limited. In that context, computer models constitute valid alternatives to experiments. Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED-Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch. Specialists, but also nonexpert in cheminformatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavours.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                22 April 2022
                2022
                : 9
                : 889276
                Affiliations
                [1] 1Department of Bioengineering and Technology, Gauhati University , Guwahati, India
                [2] 2Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research , Shirpur, India
                [3] 3NatNov Bioscience Private Limited , Balasore, India
                [4] 4Skills Innovation & Academic Network (SIAN) Institute-Association for Biodiversity Conservation and Research , Balasore, India
                [5] 5Microbiology Division, Department of Botany, Gauhati University , Guwahati, India
                [6] 6Department of Food Processing Technology, Malda Polytechnic, West Bengal State Council of Technical Education, Govt. of West Bengal , Malda, India
                [7] 7School of Health Sciences, Universiti Sains Malaysia , Kubang Kerian, Malaysia
                [8] 8Department of Agricultural Sciences, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan , Kelantan, Malaysia
                [9] 9Department of Orthopaedics, School of Medical Sciences, Universiti Sains Malaysia , Kubang, Malaysia
                [10] 10Nutrition Programme, School of Health Sciences, Universiti Sains Malaysia , Kubang Kerian, Malaysia
                Author notes

                Edited by: Nilesh Prakash Nirmal, Mahidol University, Thailand

                Reviewed by: Diptikanta Acharya, Gandhi Institute of Engineering and Technology University (GIET), India; Pranab Kishor Mohapatra, C. V. Raman Global University, India

                *Correspondence: Debabrat Baishya drdbaishya@ 123456gmail.com
                Muhammad Rajaei Ahmad Mohd Zain rajaei@ 123456usm.my
                Wan Ishak Wan Rosli wrosli@ 123456usm.my

                This article was submitted to Food Chemistry, a section of the journal Frontiers in Nutrition

                †ORCID: Tanmay Sarkar orcid.org/0000-0003-3869-1604

                Article
                10.3389/fnut.2022.889276
                9075044
                35529456
                724c93d7-d9c6-4f44-ae26-088fa3d87e9a
                Copyright © 2022 Bharadwaj, Ahmad, Pati, Ghosh, Sarkar, Rabha, Patel, Baishya, Edinur, Abdul Kari, Ahmad Mohd Zain and Wan Rosli.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 March 2022
                : 14 March 2022
                Page count
                Figures: 9, Tables: 4, Equations: 1, References: 77, Pages: 16, Words: 10157
                Categories
                Nutrition
                Original Research

                hdac 2,seaweed,molecular docking,molecular dynamics simulation,mm-gbsa

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