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The physical properties of small molecules, in particular “drug-like” molecules, including their ability to interact with and modulate protein function, cell permeability, and metabolic stability make them powerful tools to study biological systems. Large amounts of small molecule biological activity data are publicly available and small molecules are systematically studied in the diverse profiling assays of the LINCS Consortium. To integrate LINCS data across the various assays, Centers, and with external bioactivity data requires to uniquely identify each small molecule samples tested in an assay based on its unique “active” component. Typically, this is done based on the unique chemical structure. Although non-trivial, a unique, single fragment representation of a organic small molecule can, in most cases, be generated after removing salt counter ions and addends, considering ionization states, tautomeric forms and canonicalizing the chemical structure representation, e.g. as a canonical SMILES or InChI. We implemented the chemical structure standardization using chemical informatics tools. Exceptions include small numbers of metal-organic and multi-component compounds, which we handled by manual expert curation. However, a significant challenge in standardizing small molecules lies in the considerable variability of reported chemical structures for the same compound, depending on the source. Typical and frequent errors include inversed or removed stereochemical centers, relative vs absolute stereochemical configuration, E/Z geometric isomerism of alkenes or imines, loss of aromaticity, changes in oxidation states and other problems. Further complexities can be introduced by different representations of compound mixtures. Public resources, such as PubChem, report many different chemical structures for the same compound, for example as identified by a common drug name. The apparent lack of curation of small molecule chemical structures results in error propagation, for example incorrect chemical structures submitted to PubChem, which are then referenced and potentially added to another resource.Herein we present the chemical structure standardization and registration pipeline implemented for LINCS small molecules including manual curation, automated steps, mappings to PubChem, naming, validation, and several QC and review steps. The standardization pipeline considers stereochemical representations, mixtures of stereoisomers, geometric isomers of carbon-carbon and carbon-hetero double bonds, regio-isomers, non-isomeric mixtures, ionization states, tautomeric forms, and salt forms or other addends. We illustrate typical errors and their propagation, a problem exacerbated by the lack of user-friendly tools to enable biologists to work with complex chemical information. In LINCS we work to disambiguate compound identity during the registration process using redundant information including chemical structures, drug names, vendor information and provided cross references.Standardized LINCS small molecules are mapped to PubChem, ChEMBL, ChEBI, and via UniChem to many other resources. These mappings facilitate the curation and integration of diverse external annotations, such as biochemical target information. Compound standardization and mapping makes it easy to integrate different LINCS signatures. The LINCS Small Molecule collection has been registered into the MIRIAM Registry, and identifiers.org for the Persistent URL (PURL). The identifiers.org PURL for each LINCS small molecule re-directs to the LINCS Data Portal, and the information is accessible via RESTful API, in coordination with interoperable smartAPI.

The Library of Integrated Network-based Signatures (LINCS, http://lincsproject.org/) program generates a wide variety of cell-based perturbation-response signatures using diverse assay technologies. For example, LINCS includes large-scale transcriptional profiling of genetic and small molecule perturbations, and various proteomics and imaging datasets. The BD2K LINCS Data Coordination and Integration Center (DCIC) has been developing a collection of tools including data standards specifications, data processing pipelines and infrastructure, a metadata registration system, and a diverse suite of end-user software tools to support and implement an end-to-end solution from submitting LINCS datasets by the Data and Signature Generation Centers (DSGCs) to dataset publication via a Data Portal followed by integrated data analytics enabled by easy to use web-based tools.The LINCS Data Portal (LDP) presents a unified interface to access LINCS datasets and metadata with mappings to many external resources. LDP provides various options to explore, query, and download LINCS dataset packages and reagents that have been described using the LINCS metadata standards.The LINCS Data Portal dataset landing pages provide deep metadata for each LINCS dataset including description of the assays, authors, data analysis pipelines, and standardized reagents such as small molecules cell lines, antibodies, etc, with rich annotations. The landing pages are a key component to make LINCS data persistent and reusable, by integrating LINCS datasets, data processing pipelines, analytes, perturbations, model systems and related concepts as uniquely identifiable digital research objects. Dataset citation is now integrated into LDP.We recently added new curated content and search functionality for small molecules and many new features to further improve the utility of LDP.LDP is built on a robust API and is integrated with the MetaData Registry and interfaces with other components of the Integrated Knowledge Environment (IKE) developed in our Center. All LINCS datasets are also indexed in bioCADDIE DataMed and omicsDI.