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.
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