1,720,981 research outputs found
Predikce termostability proteinů se zaměřením na protilátky
Thermostability is key to successful protein engineering and therapeutic antibody development; accurate prediction accelerates the identification of stable proteins and the design of robust variants. This thesis evaluates zero- shot and supervised machine learning approaches for thermostability predic- tion, with a focus on antibodies. We achieve state-of-the-art performance on the public AbProp dataset-483 antibodies with melting temperatures measured by differential scanning fluorimetry (DSF)-reaching a Spearman correlation of 0.49 in the zero-shot setting and 0.69 with supervised learning. We find that antibody-specific language models do not outperform general models in the zero-shot setting, which may be due to a wider distribution of thermostability in antibodies, resulting from possibly weaker evolutionary pressure for stability and the high variability introduced by their combinato- rial V(D)J origin and somatic hypermutation. We further evaluate zero-shot generalization on the ProteinGym benchmark, showing that our models per- form competitively on unrelated protein domains. We also analyze sequence positions contributing to supervised prediction and observe that antibodies with lambda light chains are, on average, more thermostable than those with kappa chains. Our results underscore the...Termostabilita je klíčová pro úspěšné inženýrství proteinů a vývoj terape- utických protilátek; přesná predikce urychluje identifikaci stabilních proteinů a návrh robustních variant. Tato diplomová práce hodnotí přístupy strojo- vého učení k predikci termostability v režimu zero-shot i s učením s učitelem, se zaměřením na protilátky. Na veřejné sadě AbProp, která obsahuje 483 pro- tilátek s teplotami tání měřenými metodou diferenciální skenovací fluorimet- rie (DSF), překonáváme dosavadní nejlepší výsledky; v režimu zero-shot do- sahujeme Spearmanovy korelace 0,49 a s učením s učitelem 0,69. Zjišťujeme, že jazykové modely specifické pro protilátky v režimu zero-shot nepřekoná- vají obecné modely, což může být způsobeno širším rozdělením hodnot ter- mostability u protilátek, vyplývajícím z pravděpodobně slabšího evolučního tlaku na stabilitu a vysoké variability dané jejich kombinatorickým původem, V(D)J rekombinací, a somatickými hypermutacemi. Dále vyhodnocujeme ge- neralizaci v režimu zero-shot na benchmarku ProteinGym a ukazujeme, že naše modely dosahují konkurenceschopných výsledků i na nesouvisejících pro- teinových doménách. Analyzujeme také sekvenční pozice přispívající k pre- dikci s učitelem a pozorujeme, že protilátky s lehkými řetězci typu lambda jsou v průměru termostabilnější než ty s řetězci...Department of Cell BiologyKatedra buněčné biologiePřírodovědecká fakultaFaculty of Scienc
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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