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Dive into the research topics where Shawn Witham is active.

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Featured researches published by Shawn Witham.


BMC Biophysics | 2012

DelPhi: a comprehensive suite for DelPhi software and associated resources

Lin Li; Chuan Li; Subhra Sarkar; Jie Zhang; Shawn Witham; Zhe Zhang; Lin Wang; Nicholas Smith; Marharyta Petukh; Emil Alexov

BackgroundAccurate modeling of electrostatic potential and corresponding energies becomes increasingly important for understanding properties of biological macromolecules and their complexes. However, this is not an easy task due to the irregular shape of biological entities and the presence of water and mobile ions.ResultsHere we report a comprehensive suite for the well-known Poisson-Boltzmann solver, DelPhi, enriched with additional features to facilitate DelPhi usage. The suite allows for easy download of both DelPhi executable files and source code along with a makefile for local installations. The users can obtain the DelPhi manual and parameter files required for the corresponding investigation. Non-experienced researchers can download examples containing all necessary data to carry out DelPhi runs on a set of selected examples illustrating various DelPhi features and demonstrating DelPhi’s accuracy against analytical solutions.ConclusionsDelPhi suite offers not only the DelPhi executable and sources files, examples and parameter files, but also provides links to third party developed resources either utilizing DelPhi or providing plugins for DelPhi. In addition, the users and developers are offered a forum to share ideas, resolve issues, report bugs and seek help with respect to the DelPhi package. The resource is available free of charge for academic users from URL: http://compbio.clemson.edu/DelPhi.php


Proteins | 2011

A Missense Mutation in CLIC2 Associated with Intellectual Disability is Predicted by In Silico Modeling to Affect Protein Stability and Dynamics

Shawn Witham; Kyoko Takano; Emil Alexov

Large‐scale next generation resequencing of X chromosome genes identified a missense mutation in the CLIC2 gene on Xq28 in a male with X‐linked intellectual disability (XLID) and not found in healthy individuals. At the same time, numerous nsSNPs (nonsynonomous SNP) have been reported in the CLIC2 gene in healthy individuals indicating that the CLIC2 protein can tolerate amino acid substitutions and be fully functional. To test the possibility that p.H101Q is a disease‐causing mutation, we performed in silico simulations to calculate the effects of the p.H101Q mutation on CLIC2 stability, dynamics, and ionization states while comparing the effects obtained for presumably harmless nsSNPs. It was found that p.H101Q, in contrast with other nsSNPs, (a) lessens the flexibility of the joint loop which is important for the normal function of CLIC2, (b) makes the overall 3D structure of CLIC2 more stable and thus reduces the possibility of the large conformational change expected to occur when CLIC2 moves from a soluble to membrane form, and (c) removes the positively charged residue, H101, which may be important for the membrane association of CLIC2. The results of in silico modeling, in conjunction with the polymorphism analysis, suggest that p.H101Q may be a disease‐causing mutation, the first one suggested in the CLIC family. Proteins 2011;


Proteins | 2011

Developing hybrid approaches to predict pKa values of ionizable groups

Shawn Witham; Kemper Talley; Lin Wang; Zhe Zhang; Subhra Sarkar; Daquan Gao; Wei Yang; Emil Alexov

Accurate predictions of pKa values of titratable groups require taking into account all relevant processes associated with the ionization/deionization. Frequently, however, the ionization does not involve significant structural changes and the dominating effects are purely electrostatic in origin allowing accurate predictions to be made based on the electrostatic energy difference between ionized and neutral forms alone using a static structure and the subtle structural changes be accounted by using dielectric constant larger than two. On another hand, if the change of the charge state is accompanied by a large structural reorganization of the target protein, then the relevant conformational changes have to be explicitly taken into account in the pKa calculations. Here we report a hybrid approach that first predicts the titratable groups whose ionization is expected to cause large conformational changes, termed “problematic” residues, and then applies a special protocol on them, while the rest of the pKas are predicted with rigid backbone approach as implemented in multi‐conformation continuum electrostatics (MCCE) method. The backbone representative conformations for “problematic” groups are generated with either molecular dynamics simulations with charged and uncharged amino acid or with ab‐initio local segment modeling. The corresponding ensembles are then used to calculate the titration curves of the “problematic” residues and then the results are averaged to obtain the corresponding pKa. Proteins 2011;


Bioinformatics | 2012

DelPhi web server v2

Nicholas Smith; Shawn Witham; Subhra Sarkar; Jie Zhang; Lin Li; Chuan Li; Emil Alexov

UNLABELLED A new edition of the DelPhi web server, DelPhi web server v2, is released to include atomic presentation of geometrical figures. These geometrical objects can be used to model nano-size objects together with real biological macromolecules. The position and size of the object can be manipulated by the user in real time until desired results are achieved. The server fixes structural defects, adds hydrogen atoms and calculates electrostatic energies and the corresponding electrostatic potential and ionic distributions. AVAILABILITY AND IMPLEMENTATION The web server follows a client-server architecture built on PHP and HTML and utilizes DelPhi software. The computation is carried out on supercomputer cluster and results are given back to the user via http protocol, including the ability to visualize the structure and corresponding electrostatic potential via Jmol implementation. The DelPhi web server is available from http://compbio.clemson.edu/delphi_webserver.


Journal of the American Medical Informatics Association | 2013

A rational free energy-based approach to understanding and targeting disease-causing missense mutations

Zhe Zhang; Shawn Witham; Marharita Petukh; Gautier Moroy; Maria A. Miteva; Yoshihiko Ikeguchi; Emil Alexov

BACKGROUND AND SIGNIFICANCE Intellectual disability is a condition characterized by significant limitations in cognitive abilities and social/behavioral adaptive skills and is an important reason for pediatric, neurologic, and genetic referrals. Approximately 10% of protein-encoding genes on the X chromosome are implicated in intellectual disability, and the corresponding intellectual disability is termed X-linked ID (XLID). Although few mutations and a small number of families have been identified and XLID is rare, collectively the impact of XLID is significant because patients usually are unable to fully participate in society. OBJECTIVE To reveal the molecular mechanisms of various intellectual disabilities and to suggest small molecules which by binding to the malfunctioning protein can reduce unwanted effects. METHODS Using various in silico methods we reveal the molecular mechanism of XLID in cases involving proteins with known 3D structure. The 3D structures were used to predict the effect of disease-causing missense mutations on the folding free energy, conformational dynamics, hydrogen bond network and, if appropriate, protein-protein binding free energy. RESULTS It is shown that the vast majority of XLID mutation sites are outside the active pocket and are accessible from the water phase, thus providing the opportunity to alter their effect by binding appropriate small molecules in the vicinity of the mutation site. CONCLUSIONS This observation is used to demonstrate, computationally and experimentally, that a particular condition, Snyder-Robinson syndrome caused by the G56S spermine synthase mutation, might be ameliorated by small molecule binding.


Computational and Mathematical Methods in Medicine | 2014

ProBLM Web Server: Protein and Membrane Placement and Orientation Package

Taylor Kimmett; Nicholas Smith; Shawn Witham; Marharyta Petukh; Subhra Sarkar; Emil Alexov

The 3D structures of membrane proteins are typically determined without the presence of a lipid bilayer. For the purpose of studying the role of membranes on the wild type characteristics of the corresponding protein, determining the position and orientation of transmembrane proteins within a membrane environment is highly desirable. Here we report a geometry-based approach to automatically insert a membrane protein with a known 3D structure into pregenerated lipid bilayer membranes with various dimensions and lipid compositions or into a pseudomembrane. The pseudomembrane is built using the Protein Nano-Object Integrator which generates a parallelepiped of user-specified dimensions made up of pseudoatoms. The pseudomembrane allows for modeling the desolvation effects while avoiding plausible errors associated with wrongly assigned protein-lipid contacts. The method is implemented into a web server, the ProBLM server, which is freely available to the biophysical community. The web server allows the user to upload a protein coordinate file and any missing residues or heavy atoms are regenerated. ProBLM then creates a combined protein-membrane complex from the given membrane protein and bilayer lipid membrane or pseudomembrane. The user is given an option to manually refine the model by manipulating the position and orientation of the protein with respect to the membrane.


Human Molecular Genetics | 2012

An X-linked channelopathy with cardiomegaly due to a CLIC2 mutation enhancing ryanodine receptor channel activity

Kyoko Takano; Dan Liu; Patrick Tarpey; Esther M. Gallant; Alex Lam; Shawn Witham; Emil Alexov; Alka Chaubey; Roger E. Stevenson; Charles E. Schwartz; Philip G. Board; Angela F. Dulhunty


Communications in Computational Physics | 2013

DelPhi Web Server: A comprehensive online suite for electrostatic calculations of biological macromolecules and their complexes

Subhra Sarkar; Shawn Witham; Jie Zhang; Maxim Zhenirovskyy; Walter Rocchia; Emil Alexov


Communications in Computational Physics | 2013

In silico investigation of pH-dependence of prolactin and human growth hormone binding to human prolactin receptor

Lin Wang; Shawn Witham; Zhe Zhang; Lin Li; Michael E. Hodsdon; Emil Alexov


Archive | 2011

DelPhi Web Server: A Comprehensive Online Suite

Subhra Sarkar; Shawn Witham; Maxim Zhenirovskyy; Walter Rocchia; Emil Alexov

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