Based on extensive expertise and our seasoned scientific staff, Creative Biolabs 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 identification and validation of therapeutic targets.

Our customized gene functional analysis takes advantage of multiple in silico assays as well as vast databases covering metabolic pathways, biomarkers, small molecule modulators, target-compound interactions, etc. This particular platform makes it feasible to identify the genetic basis to characterize the functional potential of various microorganisms.

Figure 1. <em>In silico</em> prediction of interacting partners  for EPSPS gene by STRING (Garg et al. 2014) Figure 1. In silico prediction of interacting partners for EPSPS gene by STRING (Garg et al. 2014)

We offer detailed profiles including but not limited to following aspects:

Functional sequence prediction and characterization:

Extracted genes will be pooled and processed with various assays. We can remove the redundancy and isolate translated sequences of potential target genes. The sequence of interest will be further analyzed for structure features, sub-cellular location and other specific profiles required by customers.

Phylogenetic analysis

Special programs can be performed to identify conserved motifs. Phylogenetic tree is constructed by cross-fungi and cross-species comparison. The data is analyzed using three approaches: neighbor joining (NJ) algorithm with a Poisson correction model, maximum parsimony (MP) bootstrapping with massive replicates and Bayesian inference. This can help to estimate the validity and specificity of certain genes as a therapeutic target.

Target-compound interactions

Protein-protein interaction is the central part to reveal and interpret the potential for developing ideal drug targets. Creative Biolabs provides high throughput analysis tools, which enables unique coverage and ease of access to both theoretical and experimental interaction evidence. Equipped with numerous proteins belonging to a wide range of organisms, we can conduct the interaction studies in multiple modes to deduce the most appropriate interactions. In addition, we can also perform genome-wide assays with preliminary compounds to identify specific genes and investigate pathways directly affected by the compounds.

Biomarker discovery

As a measurable biological indicator, specific and non-specific biomarkers are of great essential for diagnosis and evaluation of clinical interventions. With a variety of special-designed in silico analysis tools, Creative Biolabs is able to obtain detailed information about the functional role of certain target genes, including biosynthesis pathway, metabolites, enzymatic activity, etc.

Resistance mutation analysis

Mutations in the target, especially in the binding sites, may influence target-compound interactions, thus leading to drug resistance. Moreover, protein stability can also be altered. By utilizing the mutation software, we are capable of mimicking naturally-occurred mutations and further predicting the possible resistance changes.

In silico functional analysis platform of Creative Biolabs is able to provide accurate and integrated outcomes with effortless procedures. Additionally, it can help to accelerate discovery timelines and cut off R&D costs. Our scientific team will access to diverse data sources and come up with comprehensive and systemic feedbacks using our world-class bioinformatics approaches. Tailored reports direct for downstream research and applications will be delivered to our clients in short period.

As one forward-looking institution and the leading provider in drug discovery field, Creative Biolabs is a trustworthy research partner to assist your cutting-edge pharmaceutical projects.

For more detailed information, please feel free to contact us or directly sent us an inquiry.

Reference

  1. Garg B, Vaid N and Tuteja N (2014). “In-silico analysis and expression profiling implicate diverse role of EPSPS family genes in regulating developmental and metabolic processes.” BMC Res Notes 7:58. doi: 10.1186/1756-0500-7-58.


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