The services provided by Infinitus Bioinformatics include, but are not limited to:

• Manual curation of upstream and downstream regulators of critical proteins, including biological entities like genomic DNA, mRNA and proteins themselves.
• Curation, annotation, and analysis of complex and dynamic biological interactions and networks: Protein-Protein and Protein-Small molecules bimolecular and complex interactions, direct and indirect functional relationships between proteins and other biological entities including proteins, small molecules, DNA, RNA; directionality of interaction mechanism to determine signal flow to and from a critical network hub.
• Database development and analysis of the consequences of molecular interactions on disease, gene expression, and dynamic reorientation of complex networks.
• Curation of direct and functional interactions between drugs and their targets, including off target affinities.
• Analysis of cross functional complex relationships and interplay between genes, drugs, processes, disease, mutation, and biomarkers.
• Annotation of molecular function and biological role of proteins.
• Data mining of pharmacokinetic and pharmacodynamic results.
• Database creation of transcription factors: Upstream regulators and downstream co activators and gene targets, regulatory binding sites.
• Literature Mining: Biomedical data curation and annotation catering to research needs of target identification and validation in the early drug discovery process.
• Information abstraction services and manual indexing of life science publications.
• Manual curation of signal transduction pathways: Metabolic and signaling cascades and their cross talk, gene regulatory pathways, regulation of transcription factors and subsequently gene expression profiles in a given physiological/diseased condition.
• Full text literature mining of biomolecular interactions supported by critical data on their mechanism, mode of action, domain and motif details, sub cellular localization, organism, experimental techniques, animal model, normal/disease state etc.
• Gene expression profiles across cell, tissue, organs. Comparative analysis of normal versus disease states; wild type versus mutated forms. Correlation of expression profiles and mutations to diseases.
• Characterization of clinically significant proteins of the druggable genome: novel protein-disease relationships, development and validation of diagnostic, predictive and prognostic biomarkers for therapeutic intervention.
• Entire curation and data output referenced to PubMed, patents, scientific literature sources in World Wide Web. Data validated with unique identifiers and controlled vocabulary of public domain databases.