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Machine Learning Services

Machine learning is a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. The major contribution of AI in bioinformatics analyses depends on pattern matching and knowledge based learning systems to solve the biological problems.

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Molecular Docking Services

Molecular Docking is a bioinformatics modeling technique which involves the interaction of two or more molecules to give the stable adduct. Molecular docking is an important approach for designing new drugs and vaccines and other bioinformatics analysis as well. It predicts the three-dimensional structure of any complex depending upon binding properties of ligand and target.

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RNA-Seq Analysis Services

RNA-Seq is an exciting and in-demand next-generation sequencing (NGS) method used for identifying genes and pathways underlying certain diseases or conditions. Over the past decade, RNA-seq has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. RNA-seq offers many advantages over microarray technology.

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Computational Vaccine Designing and Immunoinformatics Services

Newly emerging and reemerging infectious viral diseases have threatened humanity throughout history. The unprecedented scale and rapidity of dissemination of recent emerging infectious diseases pose new challenges for vaccine developers, regulators, health authorities and political constituencies. Vaccines are biological substances that are utilized to stimulate antibody production within the body of an organism to provide active immunity against foreign organisms, mostly viruses and bacteria. Vaccines not only arrest the beginning of different diseases but also assign a gateway for its elimination and reduce toxicity. Vaccines are the most cost-effective public health interventions.

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Computational Drug Discovery Services

Computational Drug Designing has become the go-to requirement for the researchers, scientists and the pharmaceuticals who fight against the fatal disease. Computational drug discovery is an effective strategy for accelerating and economizing drug discovery and development processes. Because of the dramatic increase in the availability of biological macromolecule and small molecule information, the applicability of computational drug discovery has been extended and broadly applied to nearly every stage in the drug discovery and development workflow, including target identification and validation, lead discovery and optimization and preclinical tests.

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Molecular Dynamics Simulation Services

Molecular dynamics (MD) is a computer simulation method for analyzing the physical movements of atoms and molecules. The atoms and molecules are allowed to interact for a fixed period of time, giving a view of the dynamic “evolution” of the system. In the most common version, the trajectories of atoms and molecules are determined by numerically solving Newton’s equations of motion for a system of interacting particles, where forces between the particles and their potential energies are often calculated using interatomic potentials or molecular mechanics force fields. MD simulations are nowadays routinely applied to macromolecular systems of biological and pharmaceutical interest.

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ChIP-Seq Analysis

ChIP is an antibody-based technique that is used to enrich specific DNA-binding proteins in addition to their DNA targets. This is used to investigate a specific protein-DNA interaction or multiple protein-DNA interactions across a subset of genes or the whole genome.

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