Faculty Opinions recommendation of Six biophysical screening methods miss a large proportion of crystallographically discovered fragment hits: A case study.

Author(s):  
Xiayang Qiu ◽  
Ye Che
Keyword(s):  
2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Melinda Oviyanti ◽  
Wiwin Hendriani

Penelitian ini bertujuan untuk mengetahui gambaran resiliensi yang ditinjau dari teori Grotberg. Sumber resiliensi, sebagaimana dinyatakan oleh Grotberg, dibagi menjadi 3 dimana terdapat sumber I am, I have, dan I can. Metode penelitian ini menggunakan pendekatan kualitatif dengan tipe penelitian studi kasus intrinsik. Pemilihan partisipan menggunakan purposive sampling dengan metode screening resilience. Partisipan berjumlah 3 remaja perempuan yang terdiri dari seorang remaja berusia 14 tahun dan 2 remaja berusia 15 tahun. Proses pengambilan data menggunakan wawancara dan dianalisis menggunakan analisis tematik theory-driven. Hasil penelitian ini menunjukkan bahwa ketiga partisipan memiliki bentuk coping stress yang berbeda untuk menuju resiliensi. Partisipan 3 memiliki resiliensi paling menonjol di antara partisipan lain, dan meskipun terdapat banyak adversity yang dialami, partisipan 3 menunjukkan resiliensi yang tinggi melalui indikator I am. This study aimed to overview the Grotberg's resilience theory. The source of resilience, as stated by Grotberg, is divided into 3 which include "I am", "I have", and "I can". This was qualitative intrinsic case study. The participants were chosen by purposive sampling with resilience screening methods. There were 3 female adolescent participants; one aged 14 years old and the other two aged 15 years old. The data were collected using interviews and analyzed using theory-driven thematic analysis. The result of this study indicated that the participants had different forms of coping stress towards resilience. Participant 3 was the most prominent among other participants, and although participant 3 experienced adversity, the participant demonstrated a high resilience as evidenced through the "I am" indicator.


2003 ◽  
Vol 253 (1) ◽  
pp. 201-218 ◽  
Author(s):  
Rana Munns ◽  
Richard A. James

2019 ◽  
Vol 20 (20) ◽  
pp. 5119 ◽  
Author(s):  
R. Ashton Lavoie ◽  
Alice di Fazio ◽  
Ruben G. Carbonell ◽  
Stefano Menegatti

Screening solid-phase combinatorial libraries of bioactive compounds against fluorescently labeled target biomolecules is an established technology in ligand and drug discovery. Rarely, however, do screening methods include comprehensive strategies—beyond mere library blocking and competitive screening—to ensure binding selectivity of selected leads. This work presents a method for multiplexed solid-phase peptide library screening using a ClonePix 2 Colony Picker that integrates (i) orthogonal fluorescent labeling for positive selection against a target protein and negative selection against competitor species with (ii) semi-quantitative tracking of target vs. competitor binding for every library bead. The ClonePix 2 technology enables global at-a-glance evaluation and customization of the parameters for bead selection to ensure high affinity and selectivity of the isolated leads. A case study is presented by screening a peptide library against green-labeled human immunoglobulin G (IgG) and red-labeled host cell proteins (HCPs) using ClonePix 2 to select HCP-binding ligands for flow-through chromatography applications. Using this approach, 79 peptide ligand candidates (6.6% of the total number of ligands screened) were identified as potential HCP-selective ligands, enabling a potential rate of >3,000 library beads screened per hour.


2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Akeem O. Arinkoola ◽  
David O. Ogbe

The purpose of this paper is to examine various DoE methods for uncertainty quantification of production forecast during reservoir management. Considering all uncertainties for analysis can be time consuming and expensive. Uncertainty screening using experimental design methods helps reducing number of parameters to manageable sizes. However, adoption of various methods is more often based on experimenter discretions or company practices. This is mostly done with no or little attention been paid to the risks associated with decisions that emanated from that exercise. The consequence is the underperformance of the project when compared with the actual value of the project. This study presents the analysis of the three families of designs used for screening and four DoE methods used for response surface modeling during uncertainty analysis. The screening methods (sensitivity by one factor at-a-time, fractional experiment, and Plackett-Burman design) were critically examined and analyzed using numerical flow simulation. The modeling methods (Box-Behnken, central composite, D-optima, and full factorial) were programmed and analyzed for capabilities to reproduce actual forecast figures. The best method was selected for the case study and recommendations were made as to the best practice in selecting various DoE methods for similar applications.


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