Operational Structure of Early Drug Discovery Organizations

Citation: Nataliia Koval, "Operational Structure of Early Drug Discovery Organizations", Universal Library of Multidisciplinary, Volume 03, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The methodology examines the organizational architecture of the early stage of drug discovery as a governed system for the accelerated reduction of scientific uncertainty. The relevance of this methodology is determined by the rising cost of drug development, the high cost of operational failures, and the need to transform Early Drug Discovery from a collection of fragmented experiments into an integrated circuit of reproducible learning. The aim of this work is to formulate theoretically and practically grounded principles for the design and reorganization of R&D structures that ensure synchronization among scientific hypotheses, execution, data, managerial decision-making, and capital allocation. The novelty of the methodology lies in the integration of systems engineering, the theory of constraints, lean manufacturing, and QMS into a unified operational model of a Discovery organization, incorporating a five-layer governance framework, Handover Gate interface gateways, the ELN/LIMS linkage, and principles for managing distributed teams and CROs as nodes of a single research system. The conclusions are that the effectiveness of early Drug Discovery is determined by the quality of scientific ideas, the resilience of cross-functional interfaces, the traceability of data, the cadence of DMTA cycles, and the protection of critical flow constraints. The methodology will be useful to R&D leaders, operational executives, architects of research processes, and managers of biotechnology organizations.

Keywords: Early Drug Discovery, Operational Model, DMTA Cycle, Handover Gate, ELN, LIMS, QMS.

https://doi.org/10.70315/uloap.ulmdi.2026.0301008