Computer-Aided Target Validation

Creative Biolabs provides computer-aided target validation services using sophisticated chemistry simulation software and bioinformatics analysis for target validation of drug discovery process thus to deal with data reproducibility crisis which is a big obstacle for drug research and development and may lead to failure and high risk of investment. The computer-aided platform takes advantages of high accuracy and short turnaround time.

In silico model of the basic/helix-loop-helix/leucine zipper (bHLHZ) domain of Myc-Max bound to the 5'-CACGTG-3' DNA recognition sequence. Figure 1. In silico model of the basic/helix-loop-helix/leucine zipper (bHLHZ) domain of Myc-Max bound to the 5'-CACGTG-3' DNA recognition sequence. (Carabet, L. A., et al., 2018)

Creative Biolabs offers comprehensive computer-aided target validation services, including but not limited to the following:

In Silico Protein Modeling

The technical limitations of proteins purification or upholding their native state after crystallization make it urgent to predict protein structures computationally. Protein modeling is a strong competency at Creative Biolabs. We offer in silico protein modeling service to predict the secondary and tertiary structures of target proteins.

We use three different methods for predicting the 3D structures of proteins: homology modeling, protein threading (or fold recognition), and ab initio methods. The accurate structure allows accurate result for structure-based drug design, function analysis, and toxicity prediction. Our professional team has extensive experience in conformational prediction, protein modeling and protein properties mining. Our protein modeling tools are full scope and high interoperability, which make us superior to competitors in the field.

In Silico Functional Analysis

Based on extensive expertise and our seasoned scientific staff, we currently offers integrated service of gene functional analysis using our exclusive computer-aided drug discovery platform, which combines sophisticated computational software and chemistry simulation techniques to ensure highly efficient validation of therapeutic targets.

Our customized functional analyses, which can provide holistic information for any specific target, takes advantage of multiple in silico assays as well as vast databases covering metabolic pathways, biomarkers, small molecule modulators, target-compound interactions, etc. Our world class in silico analyses enables researchers to identify the genetic basis to characterize the functional potential of diseases and our platform is able to provide accurate and integrated outcomes with effortless procedures.

Bioinformatics Analysis

With our powerful computer-aided platform and years of research and development experience in the field of next-generation sequencing (NGS), Creative Biolabs has accumulated extensive experience in bioinformatics analysis to support various sequencing services. We can offer high-quality custom bioinformatics analysis services to meet every unique requirement of our clients.

The bioinformatics analysis can be used to identify and validate pathogenesis-associated genes or proteins involved in interactions with related diseases. These genes and/or proteins may perform as potential drug targets. Besides identifying potential targets, bioinformatics can facilitate the prioritization of potential targets, elucidate complex metabolic pathways, aid in the identification of beneficial metabolites, and enhance validation of targets.

Creative Biolabs has a dedicated assay development team that will work closely with you to design customized assays. Our service will meet your specific needs fast at extremely competitive prices. If you need more information, please feel free to contact us at anytime. We look forward to working with you to help your drug research and development project succeed.

Reference

  1. Carabet, L. A., et al., 2018. Computer-aided drug discovery of Myc-Max inhibitors as potential therapeutics for prostate cancer. European journal of medicinal chemistry, 160, pp. 108-119.

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