Establishing a Communal Network for Professional Advancement Among Librarians of Color

This chapter examines the ways in which collaborative partnerships among librarians of color, within and even across institutions, can greatly assist in job satisfaction, retention of professionals, and bolstering librarians’ sense of support throughout their careers. It also provides specific examples and models in which these collaborations have occurred, including those that the authors have experienced and, in many cases, initiate

Automated evaluation of quaternary structures from protein crystals

A correct assessment of the quaternary structure of proteins is a fundamental prerequisite to understanding their function, physico-chemical properties and mode of interaction with other proteins. Currently about 90% of structures in the Protein Data Bank are crystal structures, in which the correct quaternary structure is embedded in the crystal lattice among a number of crystal contacts. Computational methods are required to 1) classify all protein-protein contacts in crystal lattices as biologically relevant or crystal contacts and 2) provide an assessment of how the biologically relevant interfaces combine into a biological assembly. In our previous work we addressed the first problem with our EPPIC (Evolutionary Protein Protein Interface Classifier) method. Here, we present our solution to the second problem with a new method that combines the interface classification results with symmetry and topology considerations. The new algorithm enumerates all possible valid assemblies within the crystal using a graph representation of the lattice and predicts the most probable biological unit based on the pairwise interface scoring. Our method achieves 85% precision (ranging from 76% to 90% for different oligomeric types) on a new dataset of 1,481 biological assemblies with consensus of PDB annotations. Although almost the same precision is achieved by PISA, currently the most popular quaternary structure assignment method, we show that, due to the fundamentally different approach to the problem, the two methods are complementary and could be combined to improve biological assembly assignments. The software for the automatic assessment of protein assemblies (EPPIC version 3) has been made available through a web server at http://www.eppic-web.org.ISSN:1553-734XISSN:1553-735

Example of a non-isomorphic assembly in the crystal.

<p>(a) The crystal lattice of PDB 1A99, highlighting the <i>C</i>₂ dimer wrapping around the unit cell (<a target="_blank">http://eppic-web.org/ewui/ewui/latticeGraph?id=1a99&interfaces=7</a>). (b) Schematic 2D representation of a lattice that contains a valid <i>C</i>₂ assembly, but which is not isomorphic throughout the crystal.</p

Comparison of assembly predictions from EPPIC and PISA on the benchmarking dataset.

<p>On the top right, a pie chart shows the global agreement between EPPIC and PISA. On the bottom left, the confusion matrix of actual (PDB1 annotations) and predicted macromolecular sizes. Tiles colored as a fraction of each EPPIC (blue) and PISA (red) macromolecular size prediction (i.e. row normalized). On the bottom right, the agreement and precision of the methods for each PISA macromolecular size prediction. On the top left, the total number and recall for each macromolecular size in the dataset.</p

Visualizations of the biological assembly for GAD1 from Arabidopsis thaliana [PDB:3HBX], as presented by the EPPIC server.

<p>(a) 3D lattice graph of a full unit cell (<a target="_blank">http://eppic-web.org/ewui/ewui/latticeGraph?id=3hbx&interfaces=*</a>). The nodes are placed at the centroids of each chain, with edges indicating all interfaces. Many edges extend outside the unit cell due to the periodic nature of the lattice. (b) 2D graph of the hexameric biological assembly, formed by engaging three interface types (interfaces 1-3, 4-6 and 8-13). In both diagrams, nodes are labeled with chain ID and symmetry operator and colored by molecular entity. Edges are numbered sequentially by buried surface area and colored by interface type.</p

EPPIC and PISA predictions on the protein assembly dataset as a Venn diagram.

<p>PDB1 refers to the 1st biological assembly annotation provided by the PDB.</p

Prediction statistics for different oligomeric sizes.

<p>Prediction statistics for different oligomeric sizes.</p

EPPIC assembly predictions as a confusion matrix of macromolecular sizes.

<p>Tiles are colored as the fraction of predictions (i.e. row normalized). The method achieves 85% precision on the dataset. PDB1 refers to the 1st biological assembly annotation provided by the PDB, in here considered as the true biological assembly.</p

Example of an asymmetric assembly with internal pseudo-symmetry in one of the chains.

<p>(a) The ABC transporter (PDB 4FI3). (b) The BtuF periplasmic domain with internal <i>C</i>₂ pseudo-symmetry highlighted, including the 2-fold axis of symmetry. The internal symmetry calculation was performed with CE-Symm [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006104#pcbi.1006104.ref035" target="_blank">35</a>].</p

Over and under predictions of EPPIC and PISA in the PDB1 and PiQSi datasets.

<p>Over and under predictions of EPPIC and PISA in the PDB1 and PiQSi datasets.</p