In the last years there has been a great improvement in the development of computational methods for combinatorial chemistry applied to drug discovery. This approach to drug discovery is sometimes called a “rational way” to manage a well known phenomenon in chemistry: serendipity discoveries. Traditionally, serendipity discoveries are understood as accidental findings made when the discoverer is in quest for something else. This ‘traditional’ pattern of serendipity appears to be a good characterization of discoveries where “luck” plays a key role. (...) In this sense, some initial failures in combinatorial chemistry are frequently attributed to a naïf appropriation of a “serendipity model” for discovery (a “serendipity mistake”). In this paper we try to evaluate this statement by criticizing its foundations. It will be suggested that the notion of serendipity has different aspects and that the criticism to the first attempts could be understood as a “serendipity mistake.” We will suggest that “serendipity” strategies, a kind of blind search, can be seen sometimes as a “genuine part” of scientific practice. A discussion will ensue about how this characterization can give us a better understanding of some aspects of serendipity discoveries. (shrink)

Based on the historical case of galvanic experimentation in Germany, I identify five types of experimentation which explored and shaped the new phenomenon rather than tested theoretical predictions. Verification evaluated initial reports of Galvani's phenomenon. Simplification reduced the experimental protocol to the fewest and most basic steps. Optimization found experimental conditions that magnified the observed effect. Exploration tested a wide variety of metals, animals or configurations. Application modified the experiment to address unresolved related problems. Attempts to derive laws of the (...) phenomenon or establish its underlying causes were unsuccessful primarily due to the great variability of the experimental results. (shrink)

This paper focuses on the make-up of different cultures in experimental neurology, neuroanatomy, and clinical psychiatry. These cultures served as important research bases for early regenerative concepts and projects in the area of neurology and psychiatry at the beginning of the 20th century. Nevertheless, the developments in brain research and clinical neurology cannot be regarded to be isolated from broader societal developments, as the discourses on social de- and regeneration, neurasthenia, nerve-weakness and experiences of the brain-injured after WWI show. Societal (...) and cultural developments directly influenced researchers’ conceptualisation, scientific ideas, and even their experimental and clinical orientation. They directly reflect which scientific problems the neuroscientists felt inclined to address and what areas they began to leave aside. Using the concept of socio-technical experiments, it is demonstrated that research methodologies in neuronal de- and regeneration studies were not simply a product of recent advances in the scientific differentiation of somatic neurology or brain-psychiatry. Moreover, they resulted in important interdisciplinary attempts which emerged from great collaborative work including neuroscientists from various areas of investigation in both basic and clinical contexts. (shrink)

In the first decades of the twentieth century, the process of photosynthesis was still a mystery: Plant scientists were able to measure what entered and left a plant, but little was known about the intermediate biochemical and biophysical processes that took place. This state of affairs started to change between the two world wars, when a number of young scientists in Europe and the United States, all of whom identified with the methods and goals of physicochemical biology, selected photosynthesis as (...) a topic of research. The protagonists had much in common: They had studied physics and chemistry (although not necessarily plant physiology) to a high level; they used physicochemical methods to study the basic processes of life; they believed these processes were the same, or very similar, in all life forms; and they were affiliated with institutions that fostered this kind of study. This set of cognitive, methodological, and material resources enabled these protagonists to transfer their knowledge of the concepts and techniques from microbiology and human biochemistry, for example, to the study of plant metabolism. These transfers of knowledge had a great influence on the way in which the biochemistry and biophysics of photosynthesis would be studied over the following decades. Through the use of four historical cases, this paper analyzes these knowledge transfers, as well as the investigative pathways that made them possible. (shrink)

In 1958, Francis Crick distinguished the flow of information from the flow of matter and the flow of energy in the mechanism of protein synthesis. Crick’s claims about information flow and coding in molecular biology are viewed from the perspective of a new characterization of mechanisms and from the perspective of information as holding a key to distinguishing work in molecular biology from that of biochemistry in the 1950s–1970s . Flow of matter from beginning to end does not occur in (...) the protein synthesis mechanism; flow of information does. The flow of information and coding in molecular biological mechanisms are distinguished, on the one hand, from formal information theory, and, on the other, from information as used in cognitive neuroscience, where information and representation are often coupled. (shrink)

Mayr has made both conceptual and professional contributions to the establishment of the history and philosophy of biology. His conceptual contributions include, among many others, the notion of population thinking. He has also played an important role in the establishment of history and philosophy of biology as viable professional disciplines.