scholarly journals COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19

2020 ◽  
Vol 36 (20) ◽  
pp. 5109-5111 ◽  
Author(s):  
Ren Kong ◽  
Guangbo Yang ◽  
Rui Xue ◽  
Ming Liu ◽  
Feng Wang ◽  
...  
Keyword(s):  
Life Cycle ◽  
Drug Discovery ◽  
Small Molecules ◽  
Web Server ◽  
Supplementary Information ◽  
Binding Modes ◽  
Supplementary Data ◽  
Virus Life Cycle ◽  
Ligand Interactions ◽  
New Type

Abstract Motivation The coronavirus disease 2019 (COVID-19) caused by a new type of coronavirus has been emerging from China and led to thousands of death globally since December 2019. Despite many groups have engaged in studying the newly emerged virus and searching for the treatment of COVID-19, the understanding of the COVID-19 target–ligand interactions represents a key challenge. Herein, we introduce COVID-19 Docking Server, a web server that predicts the binding modes between COVID-19 targets and the ligands including small molecules, peptides and antibodies. Results Structures of proteins involved in the virus life cycle were collected or constructed based on the homologs of coronavirus, and prepared ready for docking. The meta-platform provides a free and interactive tool for the prediction of COVID-19 target–ligand interactions and following drug discovery for COVID-19. Availability and implementation http://ncov.schanglab.org.cn. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals InterLig: improved ligand-based virtual screening using topologically independent structural alignments

2020 ◽  
Vol 36 (10) ◽  
pp. 3266-3267
Author(s):  
Claudio Mirabello ◽  
Björn Wallner
Keyword(s):  
Drug Discovery ◽  
Virtual Screening ◽  
Small Molecules ◽  
Supplementary Information ◽  
Scaffold Hopping ◽  
Supplementary Data ◽  
Protein Target ◽  
The Past ◽  
3D Methods ◽  
Structural Alignments

Abstract Motivation In the past few years, drug discovery processes have been relying more and more on computational methods to sift out the most promising molecules before time and resources are spent to test them in experimental settings. Whenever the protein target of a given disease is not known, it becomes fundamental to have accurate methods for ligand-based virtual screening, which compares known active molecules against vast libraries of candidate compounds. Recently, 3D-based similarity methods have been developed that are capable of scaffold hopping and to superimpose matching molecules. Results Here, we present InterLig, a new method for the comparison and superposition of small molecules using topologically independent alignments of atoms. We test InterLig on a standard benchmark and show that it compares favorably to the best currently available 3D methods. Availability and implementation The program is available from http://wallnerlab.org/InterLig. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals MetumpX—a metabolomics support package for untargeted mass spectrometry

2019 ◽  
Vol 36 (5) ◽  
pp. 1647-1648 ◽  
Author(s):  
Bilal Wajid ◽  
Hasan Iqbal ◽  
Momina Jamil ◽  
Hafsa Rafique ◽  
Faria Anwar
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Small Molecules ◽  
Software Package ◽  
Life Sciences ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Software Packages ◽  
Develop Software ◽  
User Friendly

Abstract Motivation Metabolomics is a data analysis and interpretation field aiming to study functions of small molecules within the organism. Consequently Metabolomics requires researchers in life sciences to be comfortable in downloading, installing and scripting of software that are mostly not user friendly and lack basic GUIs. As the researchers struggle with these skills, there is a dire need to develop software packages that can automatically install software pipelines truly speeding up the learning curve to build software workstations. Therefore, this paper aims to provide MetumpX, a software package that eases in the installation of 103 software by automatically resolving their individual dependencies and also allowing the users to choose which software works best for them. Results MetumpX is a Ubuntu-based software package that facilitate easy download and installation of 103 tools spread across the standard metabolomics pipeline. As far as the authors know MetumpX is the only solution of its kind where the focus lies on automating development of software workstations. Availability and implementation https://github.com/hasaniqbal777/MetumpX-bin. Supplementary information Supplementary data are available at Bioinformatics online.

HotSpot3D web server: an integrated resource for mutation analysis in protein 3D structures

2020 ◽  
Vol 36 (12) ◽  
pp. 3944-3946 ◽  
Author(s):  
Shanyu Chen ◽  
Xiaoyu He ◽  
Ruilin Li ◽  
Xiaohong Duan ◽  
Beifang Niu
Keyword(s):  
Mutation Analysis ◽  
Web Server ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Supplementary Information ◽  
Supplementary Data ◽  
3D Structures ◽  
One Stop ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Abstract Motivation HotSpot3D is a widely used software for identifying mutation hotspots on the 3D structures of proteins. To further assist users, we developed a new HotSpot3D web server to make this software more versatile, convenient and interactive. Results The HotSpot3D web server performs data pre-processing, clustering, visualization and log-viewing on one stop. Users can interactively explore each cluster and easily re-visualize the mutational clusters within browsers. We also provide a database that allows users to search and visualize proximal mutations from 33 cancers in the Cancer Genome Atlas. Availability and implementation http://niulab.scgrid.cn/HotSpot3D/. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Mechanisms of Action for Small Molecules Revealed by Structural Biology in Drug Discovery

2020 ◽  
Vol 21 (15) ◽  
pp. 5262 ◽  
Author(s):  
Qingxin Li ◽  
CongBao Kang
Keyword(s):  
Drug Discovery ◽  
Small Molecules ◽  
Structural Biology ◽  
Small Molecule ◽  
Molecular Interactions ◽  
Mechanisms Of Action ◽  
Rational Drug Design ◽  
Binding Modes ◽  
Small Molecule Drugs ◽  
Rational Drug

Small-molecule drugs are organic compounds affecting molecular pathways by targeting important proteins. These compounds have a low molecular weight, making them penetrate cells easily. Small-molecule drugs can be developed from leads derived from rational drug design or isolated from natural resources. A target-based drug discovery project usually includes target identification, target validation, hit identification, hit to lead and lead optimization. Understanding molecular interactions between small molecules and their targets is critical in drug discovery. Although many biophysical and biochemical methods are able to elucidate molecular interactions of small molecules with their targets, structural biology is the most powerful tool to determine the mechanisms of action for both targets and the developed compounds. Herein, we reviewed the application of structural biology to investigate binding modes of orthosteric and allosteric inhibitors. It is exemplified that structural biology provides a clear view of the binding modes of protease inhibitors and phosphatase inhibitors. We also demonstrate that structural biology provides insights into the function of a target and identifies a druggable site for rational drug design.

scholarly journals MeLAD: an integrated resource for metalloenzyme-ligand associations

2019 ◽  
Author(s):  
Gen Li ◽  
Yu Su ◽  
Yu-Hang Yan ◽  
Jia-Yi Peng ◽  
Qing-Qing Dai ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Metal Binding ◽  
Metal Ion ◽  
Structural Data ◽  
Structural Similarity ◽  
Functional Class ◽  
Supplementary Information ◽  
Biological Processes ◽  
Ligand Interactions ◽  
Data Source

Abstract Motivation Metalloenzymes are attractive targets for therapeutic intervention owing to their central roles in various biological processes and pathological situations. The fast-growing body of structural data on metalloenzyme-ligand interactions is facilitating efficient drug discovery targeting metalloenzymes. However, there remains a shortage of specific databases that can provide centralized, interconnected information exclusive to metalloenzyme-ligand associations. Results We created a Metalloenzyme-Ligand Association Database (MeLAD), which is designed to provide curated structural data and information exclusive to metalloenzyme-ligand interactions, and more uniquely, present expanded associations that are represented by metal-binding pharmacophores (MBPs), metalloenzyme structural similarity (MeSIM) and ligand chemical similarity (LigSIM). MeLAD currently contains 6086 structurally resolved interactions of 1416 metalloenzymes with 3564 ligands, of which classical metal-binding, non-classical metal-binding, non-metal-binding and metal water-bridging interactions account for 63.0%, 2.3%, 34.4% and 0.3%, respectively. A total of 263 monodentate, 191 bidentate and 15 tridentate MBP chemotypes were included in MeLAD, which are linked to different active site metal ions and coordination modes. 3726 and 52 740 deductive metalloenzyme-ligand associations by MeSIM and LigSIM analyses, respectively, were included in MeLAD. An online server is provided for users to conduct metalloenzyme profiling prediction for small molecules of interest. MeLAD is searchable by multiple criteria, e.g. metalloenzyme name, ligand identifier, functional class, bioinorganic class, metal ion and metal-containing cofactor, which will serve as a valuable, integrative data source to foster metalloenzyme related research, particularly involved in drug discovery targeting metalloenzymes. Availability and implementation MeLAD is accessible at https://melad.ddtmlab.org. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals SEABED: Small molEcule activity scanner weB servicE baseD

2014 ◽  
Vol 31 (5) ◽  
pp. 773-775 ◽  
Author(s):  
Carlos Fenollosa ◽  
Marcel Otón ◽  
Pau Andrio ◽  
Jorge Cortés ◽  
Modesto Orozco ◽  
...  
Keyword(s):  
Web Service ◽  
Web Server ◽  
Software As A Service ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Ensemble Docking ◽  
Web Tools ◽  
Protein Mutants ◽  
User Friendly ◽  
Hybrid Docking

Abstract Motivation: The SEABED web server integrates a variety of docking and QSAR techniques in a user-friendly environment. SEABED goes beyond the basic docking and QSAR web tools and implements extended functionalities like receptor preparation, library editing, flexible ensemble docking, hybrid docking/QSAR experiments or virtual screening on protein mutants. SEABED is not a monolithic workflow tool but Software as a Service platform. Availability and implementation: SEABED is a free web server available athttp://www.bsc.es/SEABED. No registration is required. Contact: [email protected] Supplementary information: Supplementary data are available atBioinformatics online.

scholarly journals Estimating the power of sequence covariation for detecting conserved RNA structure

2020 ◽  
Vol 36 (10) ◽  
pp. 3072-3076 ◽  
Author(s):  
Elena Rivas ◽  
Jody Clements ◽  
Sean R Eddy
Keyword(s):  
Secondary Structure ◽  
Sequence Alignment ◽  
Rna Structure ◽  
Rna Secondary Structure ◽  
Source Code ◽  
Web Server ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Detection Power ◽  
Non Coding Rnas

Abstract Pairwise sequence covariations are a signal of conserved RNA secondary structure. We describe a method for distinguishing when lack of covariation signal can be taken as evidence against a conserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to detect covariations. We find that alignments for several long non-coding RNAs previously shown to lack covariation support do have adequate covariation detection power, providing additional evidence against their proposed conserved structures. Availability and implementation The R-scape web server is at eddylab.org/R-scape, with a link to download the source code. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals A Practical Perspective on the Roles of Solution NMR Spectroscopy in Drug Discovery

Molecules ◽  
2020 ◽  
Vol 25 (13) ◽  
pp. 2974
Author(s):  
Qingxin Li ◽  
CongBao Kang
Keyword(s):  
Drug Discovery ◽  
Nmr Spectroscopy ◽  
Ligand Binding ◽  
Conformational Changes ◽  
Solution Nmr ◽  
Binding Modes ◽  
Protein Ligand Interactions ◽  
Ligand Interactions ◽  
Solution Nmr Spectroscopy ◽  
Solution Nuclear Magnetic Resonance

Solution nuclear magnetic resonance (NMR) spectroscopy is a powerful tool to study structures and dynamics of biomolecules under physiological conditions. As there are numerous NMR-derived methods applicable to probe protein–ligand interactions, NMR has been widely utilized in drug discovery, especially in such steps as hit identification and lead optimization. NMR is frequently used to locate ligand-binding sites on a target protein and to determine ligand binding modes. NMR spectroscopy is also a unique tool in fragment-based drug design (FBDD), as it is able to investigate target-ligand interactions with diverse binding affinities. NMR spectroscopy is able to identify fragments that bind weakly to a target, making it valuable for identifying hits targeting undruggable sites. In this review, we summarize the roles of solution NMR spectroscopy in drug discovery. We describe some methods that are used in identifying fragments, understanding the mechanism of action for a ligand, and monitoring the conformational changes of a target induced by ligand binding. A number of studies have proven that 19F-NMR is very powerful in screening fragments and detecting protein conformational changes. In-cell NMR will also play important roles in drug discovery by elucidating protein-ligand interactions in living cells.

scholarly journals The Role of Capsid in the Early Steps of HIV-1 Infection: New Insights into the Core of the Matter

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1161
Author(s):  
Nawal Al Burtamani ◽  
Alwin Paul ◽  
Ariberto Fassati
Keyword(s):  
Life Cycle ◽  
Small Molecules ◽  
Reverse Transcription ◽  
Nuclear Import ◽  
Protein A ◽  
Host Factors ◽  
Virus Life Cycle ◽  
Experimental Approaches ◽  
Hiv 1

In recent years, major advances in research and experimental approaches have significantly increased our knowledge on the role of the HIV-1 capsid in the virus life cycle, from reverse transcription to integration and gene expression. This makes the capsid protein a good pharmacological target to inhibit HIV-1 replication. This review covers our current understanding of the role of the viral capsid in the HIV-1 life cycle and its interaction with different host factors that enable reverse transcription, trafficking towards the nucleus, nuclear import and integration into host chromosomes. It also describes different promising small molecules, some of them in clinical trials, as potential targets for HIV-1 therapy.

scholarly journals The TMCrys server for supporting crystallization of transmembrane proteins

2019 ◽  
Vol 35 (20) ◽  
pp. 4203-4204
Author(s):  
Julia K Varga ◽  
Gábor E Tusnády
Keyword(s):  
Membrane Proteins ◽  
Structure Determination ◽  
Web Server ◽  
Transmembrane Proteins ◽  
Prediction Method ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Successful Completion ◽  
Determination Process

Abstract Motivation Due to their special properties, the structures of transmembrane proteins are extremely hard to determine. Several methods exist to predict the propensity of successful completion of the structure determination process. However, available predictors incorporate data of any kind of proteins, hence they can hardly differentiate between crystallizable and non-crystallizable membrane proteins. Results We implemented a web server to simplify running TMCrys prediction method that was developed specifically to separate crystallizable and non-crystallizable membrane proteins. Availability and implementation http://tmcrys.enzim.ttk.mta.hu Supplementary information Supplementary data are available at Bioinformatics online.

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