Novel experimental techniques such as cryoEM and serial crystallography, DNA-encoded libraries and automated organic synthesis and their consequences for CADD will be discussed. Areas covered include, among others, the modeling of biotherapeutics and large multi-protein complexes, handling of extended, synthetically accessible chemical space and ADMET models beyond statistical learning. The conference will present a balanced view on CADD as a research field, focusing on computational methods and their applications. While small molecule design is still the driving force of CADD, new modalities appear, emphasizing the need for precise chemical models and algorithms resulting in highly efficient computational tools. The 2023 CADD Gordon Conference will shed light on novel computational approaches tightly coupled to modern experimental techniques and applied to practical drug design endeavors. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field.Īs with numerous scientific disciplines, Computer-Aided Drug Design (CADD) is facing great opportunities and challenges as a consequence of advances in computation and information technology. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. The conference program includes a diverse range of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The Computer Aided Drug Design GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. ![]() Seed Funding for Gordon Research Seminars. ![]() ![]()
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