Selective Scientific Realism and Truth-Transfer in Theories of Molecular Structure

2021 ◽  
pp. 130-158
Author(s):  
Amanda J. Nichols ◽  
Myron A. Penner

This chapter examines theoretical advances in understanding molecular structures at the turn of the 20th century which resulted from the Blomstrand-Jørgensen/Werner debate about the structure of cobalt complexes. Both models made predictions testable through precipitation experiments, which eventually led to Werner’s model replacing the Blomstrand-Jørgensen model of cobalt complexes. We argue that this example of theory change fits within a selective scientific realist framework: namely, the factors which gave rise to the predictive success of the failed model survived in the theory that replaced it. We further argue that the lessons from this historical case can illuminate how two contemporary objections to realism—P. Kyle Stanford’s Problem of Unconceived Alternatives and Timothy D. Lyons’ pessimistic modus tollens argument—fall short as arguments against realism.

2019 ◽  
Vol 17 (4) ◽  
pp. 214-220
Author(s):  
Nikita V. Golovko

Selective skepticism in relation to fundamental scientific theories and criticism of the inference to the best explanation as an eliminative approach to substantiate hypotheses, enable K. Stanford to interpret and combine in his own way the classical arguments against the scientific realism – the arguments of the pessimistic meta-induction and that of the underdetermination of theory by data. Despite the fact that his justification of the instrumentalist interpretation of scientific knowledge is just another version of the argument «from error», K. Stanford’s book should be recommended to a scientific realism could be. Reflection on the book: Stanford K. Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives. Oxford University Press, 2006.


2021 ◽  
Vol 19 (2) ◽  
pp. 273-298
Author(s):  
Sakineh Navidi-Baghi ◽  
Ali Izanloo ◽  
Alireza Qaeminia ◽  
Alireza Azad

Abstract The molecular structure of a complex metaphor comprises two or more atomic metaphorical parts, known as primary metaphors. In the same way, several molecular structures of metaphors may combine and form a mixture, known as mixed metaphors. In this study, different types of metaphoric integrations are reviewed and illustrated in figures to facilitate understanding the phenomena. Above all, we introduce double-ground metaphoric chain, a new form of metaphoric integration that has not been identified in the previous literature. Also, a distinction is made between single-ground and double-ground metaphoric chains. In the former, which has already been introduced, two basic metaphors are chained with the same form and have the same ground, while the latter includes two chained metaphors, one main metaphor plus a supportive one, with different grounds. In this analysis, we benefited from Conceptual Metaphor Theory (CMT) to analyse double-ground metaphoric chains. This study suggests that each metaphoric integration leads to a multifaceted conceptualization, in which each facet is related to one of the constituent micro-metaphors.


Materials ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5269
Author(s):  
Weili Zeng ◽  
Yujie Song ◽  
Jianning Zhang ◽  
Hong Chen ◽  
Ming Liu ◽  
...  

A clear understanding of the relationships between molecular structure and NIR reflectance (700–2500 nm) behavior is important and highly desirable for developing appropriate NIR-reflective materials to combat NIR heat radiation from sunlight. In this research, three groups of imide-based compounds have been adopted to investigate the influence of the intrinsic molecular structures on the NIR-reflective properties. It is found out that for the compounds with alkyl groups, the NIR reflectance will increase as the degree of the conjugated backbone increases, especially for the reflectance from 1750 nm to 2500 nm. In addition, despite that the alkyl or amine groups deteriorate the NIR reflectance, the NIR reflectance varies within a certain interval and the isomers with branched alkyl groups show identical or smaller NIR reflectance than those of isomers with linear alkyl groups. For different compounds, crystallinity seems to almost have no relationship with their NIR reflectance.


2020 ◽  
Vol 11 (4) ◽  
pp. 11920-11930

Topological indices are used to test the medicine and pharmacology characteristics of drugs and their molecular structures. The modified first Zagreb connection number index is defined to be used in the analysis of drug structures. In this paper, by means of drug molecular structure analysis and vertex partitioning method, we compute the modified first Zagreb connection number index of graphene, polyomino chains, and Benzenoid systems, etc. These structures are used widely in molecular drug graphs.


Author(s):  
Howard Sankey

This note poses a dilemma for scientific realism which stems from the apparent conflict between science and common sense. On the one hand, we may accept scientific realism and agree that there is a conflict between science and common sense. If we do this, we remove the evidential basis for science and have no reason to accept science in the first place. On the other hand, we may accept scientific realism and endorse common sense. If we do this, we must reject the conflict between science and common sense. The dilemma is to be resolved by distinguishing between basic common sense and widely held beliefs. Basic common sense survives the advance of science and may serve as the evidential basis for science.


2018 ◽  
pp. 13-19
Author(s):  
Deryabina Nina ◽  
Gritsenko Dilyara ◽  
Galiakparov Nurbol

The influenza virus is one of the most abundant viruses in the world. It causes both mild seasonal infections and severe pandemics killing thousands of people and mammals. Two main extracellular receptors – neuraminidase (NA) and hemagglutinin (HA) are responsible for infection symptoms development and spread. Error-prone RNA-polymerase incorporates mutations into both neuraminidase and hemagglutinin per replication cycle, which complicates the development of highly effective drugs against animal influenza. Incorporated mutations are also involved in the transition of influenza from animal to human species and vice versa. Transited influenza subtypes are the most dangerous, because it is unpredictable now, where the mutation might arise. However, it starts to become clear, which molecular regions are the most common for the mutation to occur. This article revises the molecular structure of influenza extracellular receptors, including critical regions of receptors binding sites and susceptible mutation sites. The clear understanding of molecular structures and critical regions of HA and NA might facilitate the development of an effective vaccine and/or drug development.


2014 ◽  
Vol 70 (a1) ◽  
pp. C1382-C1382
Author(s):  
Joseph Tanski

As scientific educators, it is important to mentor students in using state-of-the-art instrumentation and in the communication of new knowledge. Just as chemical crystallography and complimentary spectroscopic techniques such as NMR can be fast, effective tools to experimentally determine the structure of molecules and enhance students learning of molecular structure, they can also provide an inspiring opportunity for students to write short, scientific journal style reports that can be edited and published in collaboration with a mentor. This contribution will focus on incorporating X-ray crystallography into an advanced undergraduate integrated laboratory class as part of a discovery based exercise where the students do not know the identity of their small molecule organic compound, and the publication of the resulting crystal structures. The structures of some recently published examples are shown below. With examples of past student projects and published structures, topics will include: sample choice, the discovery based molecular structure determination lab module, structure validation, analysis and discussion of intermolecular interactions such as hydrogen bonding, π-stacking, halogen-halogen interactions, and C-H···X (X = O, N, halogen) interactions, and the writing of descriptions of crystal and molecular structures for publication in collaboration with undergraduate students. This work was supported by grants from the U.S. National Science Foundation, No. 0521237 & 0911324.


2021 ◽  
Vol 83 (6) ◽  
pp. 49-54
Author(s):  
B.P. Matselyukh ◽  

The aim of this work was the isolation, purification and some properties investigation of two regulators of antibiotic biosynthesis of streptomycetes. Methods includes extraction of regulators from agar cultures and their concentration by vacuum rotary evaporator, thin layer chromatography and spectrophotometry. Results. Two strains of streptomycetes AN26 and B35 isolated from soils of different regions of Ukraine produce the regulators restoring the landomycin E biosynthesis and sporulation in mutant strain Streptomyces globispoprus 1912-B2. Both regulators were purified by thin layer chromatography and have the same Rf 0.69. Absorption curves of regulators were established by means of spectrophotometry. Maxima of absorption of regulators were 232.5 nm. The next study of the isolated regulators by means of NMR will give the possibility to elucidate their molecular structures. Conclusions. It is shown that two strains of streptomycetes isolated from the soils of Askania Nova and Brovary produce transcriptional regulators such as signaling molecules, which, like A-factor, restore the biosynthesis of antibiotics landomycin E and streptomycin in test strains S. globisporus 1912-B2 and S. griseis 1439, respectively. In terms of absorption maxima, they are similar and differ from similar indicators of known regulators of streptomycetes. It is possible that these compounds belong to new, not yet described signaling molecules, and the answer to this question will give future studies of their molecular structure by NMR spectroscopy.


2020 ◽  
Author(s):  
Tuan Le ◽  
Robin Winter ◽  
Frank Noé ◽  
Djork-Arné Clevert

<p>Protecting molecular structures from disclosure against external parties is of great relevance for industrial and private associations, such as pharmaceutical companies. Within the framework of external collaborations, it is common to exchange datasets by encoding the molecular structures into descriptors. Molecular fingerprints such as the extended-connectivity fingerprints are frequently used for such an exchange, because they typically perform well on quantitative structure-activity relationship tasks. </p><p>ECFPs are often considered to be non-invertible due to the way they are computed.</p><p>In this paper, we present a reverse-engineering method to deduce the molecular structure given revealed ECFPs. Our method includes the <i>Neuraldecipher</i>, a neural network model that predicts a compact vector representation of compounds, given ECFPs. We then utilize another pre-trained model to retrieve the molecular structure as SMILES representation. We demonstrate that our method is able to reconstruct molecular structures to some extent, and improves, when ECFPs with larger fingerprint sizes are revealed. For example, given ECFP count vectors of length 4096, we are able to correctly deduce around 60% of molecular structures on a validation set (112K unique samples) with our method.</p>


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