- Message from the Chair
- Letter from the Editor
- Awards and Scholarships
- Interview with David Evans
- Technical Program
- Herman Skolnik Award Symposium 2016
- Developing databases and standards in chemistry
- Two decades of open chemical data at the Developmental Therapeutics Program (DTP) at the National Cancer Institute (NCI)
- Using InChI to manage data
- Open chemistry resources provided by the NCI computer-aided drug design (CADD) group
- Evolution of open chemical information
- Open chemical information at the European Bioinformatics Institute
- History and the future of tools and software components for working with public chemistry data
- PubChem a resource for cognitive computing
- SPL and openFDA resources of open substance data
- Building a network of interoperable and independently produced linked and open biomedical data
- Chemical structure representation in PubChem
- iRAMP and PubChem: of the people, for the people
- Open chemical information: where now and how?
- ANYL: New Directions in Chemometrics: Making Sense of Big & Small Chemical Data Sets
- Shedding Light on the Dark Genome: Methods, Tools & Case Studies
- Bringing Cheminformatics into the College Chemistry Classroom
- Herman Skolnik Award Symposium 2016
- Committee Reports
- Sponsor Announcements
- CINF Officers and Functionaries
History and the future of tools and software components for working with public chemistry data
Wolf-Dietrich Ihlenfeldt’s CACTVS software suite has been an integral component of the PubChem software since the beginning. It handles structure searching, 2D structure layout and image rendering, submission checking, property computation, hashcodes, and a sketcher application. CACTVS is not used only in PubChem. The CACTVS scripting toolkit (solutions in Python or Tcl) is free for academia, and can be used in database cartridges and in KNIME nodes. It can give access to more than 50 Internet chemistry data sources.
One of the reasons CACTVS works particularly well with PubChem is PubChem’s forward-looking design, including the PUG, Entrez E-utilities and REST interfaces which make it possible to access structured data by software without resorting to HTML page scraping. Additionally, CACTVS has some inherent advantages in performing these tasks: much of the PubChem engine is based on CACTVS, and CACTVS understands the native PubChem ASN.1 data formats for structures and assays, so it can process the original data content of PubChem, without format conversion losses. It is also possible to send native toolkit structure encodings directly to the PubChem query engine, which opens up query functionality which cannot be expressed by any standard structure query exchange formats, such as SMARTS or Query molfiles (which are, of course, supported by the query interface). An example of such advanced query functionality which will be made accessible on the PubChem side in the near future is querying for ring attributes which are not atom attributes, such as the overall ring atom formula, substituent counts and classes, and similarly also for ring systems, and even user-defined atom groups.
PubChem uses CACTVS hashcoding as a primary key (one-to-one mapping of hashcode to the PubChem compound identifier, called a CID); for mapping between CID and PubChem substance identifier (SID), for related compound links, and for a similarity boost scheme. The hashcodes are currently 64-bit pseudo-random numbers, but soon will be 128-bit. Computation is based on configuration-dependent atom seeds, and neighbor-coupled, atom-centric xor-feedback shift registers. The hashcodes are fast to compute: faster than SMILES and much faster than InChI. They are of constant length, and are independent of ring set, aromaticity system, and formal charge localization. Database performance is outstanding: identity is looked up on a fully indexed database field. PubChem variants of the codes include with or without stereochemistry, and with or without isotope labels, on the submitted structure, standardized structure, or canonical tautomer, but there are many more possible seed variants not used in PubChem.
Hashcodes link structures to closely related compounds which agree at least in fragment connectivity. Wolf-Dietrich is exploring more advanced options, hashing structure relationships relevant to medicinal chemistry, for example, linking structures with similar ring systems and substituent fragments at sites of interest, and using various fragment and generalized hashes. He calls this PogoChem and a proof-of-concept is available. Users simply click on a structure and query results appear instantaneously.
In one option, ring system variants are produced by generalizing ring system atoms. There is one hashcode per ring system. Ring system size and heteroatom count are stored for the similarity score. In another option ring systems or bridges are resized by excising unsubstituted atoms between substitution or fusion points, individually or in combination. This time there are from one to ten hashcodes per ring system. It is also possible to cut bonds, and compute a hash for the fragments. These are stored with bond information and basic fragment statistics. This leads to about 50 topology-filtered hashcodes per compound. Storing five billion records, at 56 bytes per record is no problem.
Wolf-Dietrich concluded by saying that PubChem is a great resource, in the hands of a capable team. It is still evolving at a fast pace, and it continues to inspire new ideas of how to access and analyze its contents.