Nathan Brown is the Head of the in silico Medicinal Chemistry group in the Cancer Therapeutics Unit at The Institute of Cancer Research in London (UK). At the ICR, Nathan and his group support our entire drug discovery portfolio together with developing new computational methodologies to enhance our drug design work. Nathan conducted his doctoral research in Sheffield with Professor Peter Willett focusing on evolutionary algorithms and graph theory. After a two–year Marie Curie fellowship in Amsterdam in collaboration with Professor Johann Gasteiger in Erlangen, he joined the Novartis Institutes for BioMedical Research in Basel for a three–year Presidential fellowship in Basel working with Professors Peter Willett and Karl–Heinz Altmann. Nathan's work has led to the pioneering work on mulitobjective de novo design in addition to a variety of discoveries and method development in bioisosteric identification and replacement, scaffold hopping, molecular descriptors and statistical modelling. Nathan continues to pursue his research in all aspects of in silico medicinal chemistry. Nathan recent published the first book on bioisosteres, entitled Bioisosteres in Medicinal Chemistry.
Sunghwan Kim is a Staff Scientist at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH). As a computational chemist and cheminformatician, he is actively involved in the PubChem project, which develops and maintains a small-molecule database called PubChem. Specifically, his research has been focused on building and improving “PubChem3D”, which is PubChem’s chemical information resource derived from 3-dimensional (3-D) molecular structures. He holds a M.Sc. in Inorganic Chemistry (from Hanyang University, South Korea) and a Ph.D. in Physical Chemistry (from the University of Georgia at Athens).
I am CoPI of the Cheminformatics OLCC project, and an Associate Professor at Indiana University School of Informatics and Computing, where I run the Cheminformatics and Chemogenomics Research Group (CCRG). Since 2004, I have been running a graduate cheminformatics program there, offering Ph.D., M.S. degrees and certificates in Cheminformatics, with an emphasis on distance education. I have previously run graduate classes in cheminformatics using a variety of remote technologies, including videoconferencing, web conferencing, wikis and the CIC Courseshare program. Most recently, I created the Indiana Cheminformatics Education Portal of free cheminformatics learning materials, along with an associated low cost Introducing Cheminformatics eBook. I also run a Cheminformatics Education Google+ Group for discussion of cheminformatics education resources and opportunities.
Founder of Molecular Materials Informatics, which is dedicated to bringing cheminformatics to modern computing platforms (mobile, web, cloud, etc.). Outspoken advocate for increased awareness of chemical information technology by experimental chemists, in order to make the results of their experiments usable by machine learning algorithms, as well as other expert humans. Card-carrying former experimental chemist, software engineer from a young age, with many years spent creating software for computer-aided drug design. For more information, see LinkedIn Profile and Cheminformatics 2.0 blog.