@article{kearney_schwabe_marcus_roberts_dechene_swartz_mattos_2020, title={DRoP: Automated detection of conserved solvent-binding sites on proteins}, volume={88}, ISSN={["1097-0134"]}, DOI={10.1002/prot.25781}, abstractNote={Abstract Water and ligand binding play critical roles in the structure and function of proteins, yet their binding sites and significance are difficult to predict a priori. Multiple solvent crystal structures (MSCS) is a method where several X‐ray crystal structures are solved, each in a unique solvent environment, with organic molecules that serve as probes of the protein surface for sites evolved to bind ligands, while the first hydration shell is essentially maintained. When superimposed, these structures contain a vast amount of information regarding hot spots of protein‐protein or protein‐ligand interactions, as well as conserved water‐binding sites retained with the change in solvent properties. Optimized mining of this information requires reliable structural data and a consistent, objective analysis tool. Detection of related solvent positions (DRoP) was developed to automatically organize and rank the water or small organic molecule binding sites within a given set of structures. It is a flexible tool that can also be used in conserved water analysis given multiple structures of any protein independent of the MSCS method. The DRoP output is an HTML format list of the solvent sites ordered by conservation rank in its population within the set of structures, along with renumbered and recolored PDB files for visualization and facile analysis. Here, we present a previously unpublished set of MSCS structures of bovine pancreatic ribonuclease A (RNase A) and use it together with published structures to illustrate the capabilities of DRoP.}, number={1}, journal={PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS}, author={Kearney, Bradley M. and Schwabe, Michael and Marcus, Kendra C. and Roberts, Daniel M. and Dechene, Michelle and Swartz, Paul and Mattos, Carla}, year={2020}, month={Jan}, pages={152–165} }
 @article{dechene_wink_smith_swartz_mattos_2009, title={Multiple solvent crystal structures of ribonuclease A: An assessment of the method}, volume={76}, ISSN={["1097-0134"]}, DOI={10.1002/prot.22393}, abstractNote={Abstract The multiple solvent crystal structures (MSCS) method uses organic solvents to map the surfaces of proteins. It identifies binding sites and allows for a more thorough examination of protein plasticity and hydration than could be achieved by a single structure. The crystal structures of bovine pancreatic ribonuclease A (RNAse A) soaked in the following organic solvents are presented: 50% dioxane, 50% dimethylformamide, 70% dimethylsulfoxide, 70% 1,6‐hexanediol, 70% isopropanol, 50% R,S,R‐bisfuran alcohol, 70% t ‐butanol, 50% trifluoroethanol, or 1.0 M trimethylamine‐N‐oxide. This set of structures is compared with four sets of crystal structures of RNAse A from the protein data bank (PDB) and with the solution NMR structure to assess the validity of previously untested assumptions associated with MSCS analysis. Plasticity from MSCS is the same as from PDB structures obtained in the same crystal form and deviates only at crystal contacts when compared to structures from a diverse set of crystal environments. Furthermore, there is a good correlation between plasticity as observed by MSCS and the dynamic regions seen by NMR. Conserved water binding sites are identified by MSCS to be those that are conserved in the sets of structures taken from the PDB. Comparison of the MSCS structures with inhibitor‐bound crystal structures of RNAse A reveals that the organic solvent molecules identify key interactions made by inhibitor molecules, highlighting ligand binding hot‐spots in the active site. The present work firmly establishes the relevance of information obtained by MSCS. Proteins 2009. © 2009 Wiley‐Liss, Inc.}, number={4}, journal={PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS}, author={Dechene, Michelle and Wink, Glenna and Smith, Mychal and Swartz, Paul and Mattos, Carla}, year={2009}, month={Sep}, pages={861–881} }