Ligand Identification
Pubrica’s Bioinformatics team supports identifying a specific disease and target selection, providing a summary and analysis of the relevant information in a given area.
Computational tools have been used in the drug designing process. The initial molecular modelling methodologies focused on a rigid depiction of the ligand-target binding process due to the small processing capabilities that are currently available. The progression of hardware technology has made it possible to simulate the dynamic character of the critical event throughout time. We offer an overview of the advancement of structure-based drug discovery methodologies in investigating the ligand-target recognition phenomena, from inert molecular docking to improved molecular docking approaches. In the lack of 3D information about the receptor, ligand-based drug design depends on knowledge of compounds that bind to the biological target of interest. The most essential and extensively used techniques in ligand-based drug design are 3D quantitative structure-activity relationships (3D QSAR) and pharmacophore modelling. They can generate prediction models that can be used to identify and optimise leads.
Our Bioinformatics Comprehensive Services
Types of Bioinformatics: We undertake different types of ligand Identification for Ligand search, Drug identification and Drug analysis for your research work.
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We come with you all the way. From design to market support
Pubrica Offerings
Pubrica provides comprehensive bioinformatics research work publishing assistance for various publications, journals, and books. With our writing services, you can now turn your ideas into Project writing, Proposal writing, Research Writing, Thesis writing and Manuscript writing. Science, Technology, Engineering, and Mathematics (STEM) experts with a therapeutic background. It is now simple to publish a research work or obtain regulatory drug approval. With Pubrica's help, you can save time and money.
Frequently asked questions
We are with you the whole nine yards. In this section, we answer the tough questions. For any information, contact us via +91-9884350006 meanwhile, here are some of those queries
Solve an issue with computational modeling. A bioinformatics solution frequently included in the following steps is: Compile statistical information from biological data. Essentially generate a computational model. A computing algorithm is sorely tested and evaluated.
Bioinformatics has benefited evolutionary study by allowing researchers to compare DNA sequences, exchange information, anticipate potential evolution, and classify complex evolutionary processes. Overall, bioinformatics has opened up a world of possibilities in genomics and targeted gene therapy.
We make sure the safety and protection of your data. We are enthusiastic about signing a non-disclosure agreement (NDA if need be to ensure the security of your data).
Disease-specific research, topic selection, target identification, ligand discovery, cost-effectiveness research, and resource utilization have all been aspects we're researching into. Additional information on how to choose a detailed study area plan can be found at https://pubrica.com/services/bioinformatics/.
The Bioinformatics pathway focuses on three study areas: computational biology and bioinformatics; Genetics and genomics are often used interchangeably and system biology.
Bioinformatics has benefited evolutionary study by allowing researchers to compare DNA sequences, communicate information, forecast future evolution, and classify complex evolutionary processes.
