Introduction

The vision of the PSI is to make 3D protein structure information an integral part of biology research. Structural Genomics has the potential to transform biomedical research, creating a powerful new infrastructure capable of addressing some of the most challenging molecular problems of modern biology. Large-scale genome sequencing efforts have provided new insights into the richness and diversity of life, and the genomic bases of evolution and function. However, natural selection is largely driven by the physical properties of the 3D protein structure. A complete understanding of protein function and evolution, thus, requires information about both protein sequence and 3D structure [1,2]. The PSI has developed over three phases: the first phase (from 2000-2001) was a pilot phase to test the feasibility and develop the methodology; the second phase was to solve large numbers of structures using insights from the first phase; and the third phase, PSI:Biology, aims to expand the role of the 3D structure in biological research using advances from the first two phases. In this commentary, I summarize some of the achievements of the PSI and the vision for expanding these in the new National Institute of General Medical Science PSI:Biology program.

Major recent advances

Several recent reviews have outlined the progress and achievements of the PSI program [3-9]. Ultimately, the success of the initiative will be determined by the scientific impact of the new technologies, reagents, and 3D structures provided into the public domain, and the knowledge that is gained from these data. One operational metric of the program is a count of 3D structures of ‘distinct’ proteins (or domains), referred to as ‘Distinct Structures’, deposited into the Protein Data Bank (PDB). Two protein sequences are ‘distinct’ if they share < 98% sequence identity over the full-length of the shortest sequence of the pair, e.g. though each provides uniquely valuable information, two crystal structures of the same protein bound to different ligands count as a single Distinct Structure. “Novel” structures are defined as those which have < 30% sequence identity with any structure in the PDB at the time of deposition. In the second phase of the PSI program (called PSI2, 2005-2010), investigators achieved their goal set in 2005 of depositing more than 3,000 Distinct Structures into the PDB. Most of these were also Novel Structures, greatly expanding our knowledge of the relationship between protein sequences and 3D structure. Over the full ten years of the PSI program, investigators completed and deposited into the public domain more than 5,000 3D protein structures, including protein-ligand complexes and pairs of X-ray and NMR structures which, though not counted as “Distinct”, have important scientific value (see for example [10]).

Many of the structures determined in first and second phases of the PSI program were, at the time of deposition into the PDB, the first representatives from extensive protein domain families [11]. A ‘protein domain family’ is a set of homologous protein domains likely to have similar structures and possibly similar biochemical functions. These included both domains with known biochemical functions and domains of unknown function, known as DUFs. These structures are being used as templates for modelling tens of thousands of homologous proteins [12-17] and provide a database of protein sequences, structures, and biophysical properties (e.g. chemical shifts) that also inform the fields of protein structure prediction, design, and engineering. By focusing the choice of targets on proteins that have minimal sequence similarity with known structures, PSI structures have greatly increased the size of the non-redundant protein structure knowledge base that is being used to develop improved structure prediction algorithms, including fragment-based search algorithms and knowledge-based atomic potentials. In some cases, these structural data are accompanied by extensive chemical shift, nuclear overhauser effect (NOE), and other NMR data that are being used in hybrid structure determination methods [18].

The PSI has also become the primary contributor of structural data that can be used for testing new methods for protein structure prediction and automated data analysis, including data used in such projects as the Critical Assessment of Structure Prediction [19,20] and the Critical Assessment of Automated Structure Determination of Proteins from NMR data [21]. Structural Genomics projects are unique as they can provide their data for community-wide tests of computational methods without concern regarding how it impacts their priorities for publishing a particular structure. PSI Centers are also involved in collaborative projects aimed at accelerating the field of protein NMR structure analysis [22-28] and computational protein design [29-31].

As part of the community-outreach goals of the PSI program, the National Institute of General Medical Science has created the PSI Structural Biology Knowledge Base (PSI-SBKB) [32], for organizing and disseminating the entire repertoire of scientific information generated by the PSI program, and the PSI Materials Repository (PSI-MR) [33], designed to provide easy, rapid, and broad access to the biochemical reagents produced by PSI Centers, particularly the protein expression systems. These resources serve as a platform for PSI-funded investigators to provide information on protein samples and 3D structures to the broad biological community in an “open source” fashion, in which intermediate results, protein expression systems and protocols, protein structures, and new technologies are made available to the community as soon as the data and/or methods are deemed to be reliable. The PSI-SBKB also provides access to 3D protein models generated using various comparative modeling methods [14], together with coordinates of structures solved by the PSI program.

The PSI program has also instituted a Community Nomination Target (CNT) program, through which scientists can nominate targets for study by PSI centers and collaborate on functional follow on studies (http://sbkb.org/cnt/). This program provides a unique method of connecting PSI investigators with important biological problems and top-tier biological investigators and provides access to PSI Centers by a wide range of collaborators who are not directly funded by the PSI. Several of these CNT projects have yielded important and challenging structures enabling the research programs of individual investigators across the globe (see for example [34-42]).

Future directions: a vision for Structural Genomics in PSI:Biology

The successful demonstration of the feasibility of ‘high-throughput structure production’ opens doors to a wide range of new opportunities for biological research that could not be considered without such infrastructure. The third phase of the PSI program, PSI:Biology, aims to expand the role of 3D structure in biological research by supporting several “high-throughput-enabled biology partnerships”, designed to leverage the protein sample and structure production horsepower of the PSI High-Throughput Production Centers in applications involving broad and/or challenging biological questions. Examples of project areas that are emphasized in the PSI:Biology program include the following:

1. Metagenomics and microbiomes. Providing one or a few representative 3D structures from the largest protein domain families from ecosystems of organisms (e.g. the human gut microbiome) that are being characterized by large-scale metagenomic sequencing projects.
2. Individual organisms or organelles. Structural Genomics platforms are providing extensive structural coverage of proteins from a specific organisms, such as Thermatoga maritima [43] and Mycobacterium tuberculosis [44], or proteins from organelles, such as mitochondria [45] or nuclear pore complexes [46].
3. Systems biology: networks, pathways, and complexes. Structural Genomics platforms are being directed to provide hundreds of experimental structures and high-quality homology models of proteins and protein complexes involved in co-functioning networks, metabolic systems, such as networks of interacting proteins involved in cancer biology [47], and specific biochemical pathways, such as biosynthetic pathways [48-50].
4. Individual protein domain families. Structural Genomics platforms are providing (i) extensive, fine-grained structural coverage of particular protein domain families in order to understand the atomic details of structure-function relationships, (ii) studies of ligand binding affinities aimed at understanding the rules of molecular recognition, and (iii) studies of the relationships between structure, function, and internal dynamics across an extensive enzyme family.
5. Protein engineering and design. Structural Genomics platforms are being applied to validate de novo protein designs, to discover new principles for protein engineering, and to illuminate mechanisms for altering enzyme specificity and chemistry.

These exciting applications provide a vision of the broad impact Structural Genomics platforms and technologies will have on biological and biomedical research. Examples of key areas that are being explored in the PSI:Biology program are outlined in the following three sections.

Conclusions

The PSI program provides a novel paradigm for biological science discovery. Rather than determining 3D structures as a means for testing specific hypotheses, the Structural Genomics approach aims to discover new science by analyzing the information provided by 3D structures, sometimes even before the biological significance of the protein is recognized. It has been a powerful and successful driving force for a wide range of method developments that have been realized only by collecting homogeneous, fully-documented data across large numbers of protein samples and structures (see for example [10,21,26,74-81]). The PSI has also provided a test bed for “network biological science”, enabling discovery through cooperative interactions across a network of collaborating scientists. The unique multi-laboratory structure of the PSI “centers” also provides a model of how the internet can be used to integrate research activities across a network of real time collaborations. This paradigm is making significant contributions to biology, utilizing the high-throughput platforms developed in the PSI program to enable biology with 3D structural information. Indeed, the concerted effort of the more than 500 scientists participating in the PSI:Biology program has the potential to revolutionize the utility and impact of protein 3D structure information for the broad biological community.