BS
Chemistry
North Carolina State University
Dr. William Southerland is Professor of Biochemistry in the Howard University College of Medicine. I am also the Director of the Howard University Center for Computational Biology and Bioinformatics (CCBB), Interim Director of the Howard University Center for Applied Data Science and Analytics (CADSA), and the Principal Investigator of the Howard University Research Centers in Minority Institutions (RCMI) Program. My research interests include utilization of data science principles to better understand chronic disease burden among different ethnic groups and investigations on the impact of gene sequence variation on disease expression among different ethnic groups. Additional interests include investigating the rules of molecular recognition and interactions using molecular dynamics simulation to correlate conformational changes with time-dependent changes in atom-atom contacts between interacting species and with any associated changes in time-dependent interaction energies. This approach is used to study interaction mechanisms of small molecules with both proteins and DNA and has important implications for design of therapeutic agents. Also, of interest is the utilization of molecular dynamics and time-dependent interaction energy calculations to decode the nucleotide sequence dependency on ligand recognition by DNA. Additional interests include the design of proteins with increased thermal stability for application to industrial, environmental and diagnostic arenas.
Chemistry
North Carolina State University
Biochemistry
Duke University
My early work involved the development of a three-dimensional model for the active site of Pneumocystis carinii dihydrofolate reductase. This model provided an early detailed target for the design of potential agents for the treatment of pneumocystis carinii pneumonia.
We have also applied the protein-based drug design strategy to studying the interaction between DNA and small molecule ligands. This approach holds the potential to expand the exploitation of DNA sequences as drug design targets.
My laboratory also collaborated in the design of chircal-selective mixed micelles. These structures possess the ability to discriminate between ‘R’ and ‘S’ enantiomers of small molecules. This is an important component of the synthetic scheme during the drug development process.
Additionally, our work investigating allele frequencies in different populations have indicated substantial population differentiation in allele frequencies of obesity-associated SNPs. These findings may help elucidate the genetic basis that contribute to population disparities in obesity prevalence.
My teaching effort in this course is focused on biochemistry for medical students.
This course explores 2-dimensional and 3-dimensional structures of proteins and how these structures contribute to and/or determine the biological roles of these macromolecules.
My teaching effort in this course is focused on the practical methods and procedures associated with studying the 3-dimensional rendering of macromolecular structures and the simulation of the solution behavior of these structures.
Howard University RCMI Program Grant
The major goal of this grant is to provide research infrastructure at Howard University for the support of research in the general areas of minority health and health disparities by enhancing collaborative translational projects, strengthening core facilities and improving faculty development. The RCMI Program also interacts with the national RCMI Coordinating Center which is a consortium of biomedical, behavioral and clinical researchers from 21 RCMI-supported institutions working with healthcare providers and the community to address health disparities through collaboration to increase research on diseases related to underrepresented minorities and expand faculty outreach and competitiveness.
My research interests include utilization of data science principles to probe health data to better understand the chronic disease burden among different ethnic groups and investigations on the impact of gene sequence variation data on disease expression among different ethnic groups. Additional interests include investigating the rules of molecular recognition and interactions using molecular dynamics simulation to correlate conformational changes with time-dependent changes in atom-atom contacts between interacting species and with any associated changes in time-dependent interaction energies. This approach is used to study interaction mechanisms of small molecules with both proteins and DNA and has important implications for design of therapeutic agents. Also, of interest is the utilization of molecular dynamics and time-dependent interaction energy calculations to decode the nucleotide sequence dependency on ligand recognition by DNA. Additional interests include the design of proteins with increased thermal stability for application to industrial, environmental and diagnostic arenas.
Southerland, WM. Molecular Modeling of the Pneumocystis carinii Methotrexate active site. J. Comp Aided Mol. Design. 1994; 8:113-122.
Fang Y, Morris VR, Lingani GM, Long EC, Southerland WM. 2010. Genome-Targeted Drug Design: Understanding the Netropsin-DNA Interaction. The Open Conference Proceedings Journal 1:157-63. PMC3032215
Kevin F. Morris, Eugene J. Billiot, Fereshteh H. Billiot, Jordan A. Ingle, Kevin B. Krauss, Corbin R. Lewis, Kenny B. Lipkowitz, William M. Southerland, and Yayin Fang.“Using Molecular Dynamics Simulations to Identify the Key Factors Responsible for Chiral Recognition by an Amino Acid-based Molecular Micelle.”Journal of Dispersion Science and Technology, 2019, 40(5), 716-727.
Mao L, Fang Y, Campbell M, Southerland WM. Population differentiation in allele frequencies of obesity-associated SNPs. BMC Genomics 2017:18:861-876
Hedges JR, Soliman KFA, Southerland WM, D'Amour G, Fern ndez-Repollet E, Khan SA, Kumar D, Shikuma CM, Rivers BM, Yates CC, Yanagihara R, Thompson WE, Bond VC, Harris-Hooker S, McClure SA, Ofili EO. Strengthening and Sustaining Inter-Institutional Research Collaborations and Partnerships. Int J Environ Res Public Health. 2021 Mar 8;18(5). doi: 10.3390/ijerph18052727. PubMed PMID: 33800316; PubMed Central PMCID: PMC7967451.
Ngwa JS, Nwulia E, Ntekim O, Bedada FB, Kwabi-Addo B, Nadarajah S, Johnson S, Southerland WM, Kwagyan J, Obisesan TO. Aerobic Exercise Training-Induced Changes on DNA Methylation in Mild Cognitively Impaired Elderly African Americans: Gene, Exercise, and Memory Study -GEMS-I. Front Mol Nuerosci 2021:14:752403. Published online 2022 Jan 17. Doi: 10.3389/fnmol.2021.752403 PMC8802631