[PDF][PDF] 20 years of crystal hits: progress and promise in ultrahigh-throughput crystallization screening

ML Lynch, ME Snell, SA Potter, EH Snell… - … Section D: Structural …, 2023 - journals.iucr.org
Diffraction-based structural methods contribute a large fraction of the biomolecular structural
models available, providing a critical understanding of macromolecular architecture. These …

Not getting in too deep: a practical deep learning approach to routine crystallisation image classification

J Milne, C Qian, D Hargreaves, Y Wang, J Wilson - Plos one, 2023 - journals.plos.org
Using a relatively small training set of~ 16 thousand images from macromolecular
crystallisation experiments, we compare classification results obtained with four of the most …

High-throughput screening to obtain crystal hits for protein crystallography

GR Budziszewski, ME Snell, TR Wright… - JoVE (Journal of …, 2023 - app.jove.com
X-ray crystallography is the most commonly employed technique to discern macromolecular
structures, but the crucial step of crystallizing a protein into an ordered lattice amenable to …

[PDF][PDF] 药物晶型的影响因素及其筛选控制策略

师军凤, 王丹, 田阳, 王增明, 郑爱萍… - 中国药学 …, 2022 - journal11.magtechjournal.com
药物晶型是影响药物的成药性, 稳定性, 质量可控性, 临床疗效与安全性的重要因素.
药物晶型在限制了药物在临床上的应用的同时, 也使药物在临床上的应用更具有选择性. 因此 …

Design and application research of embedded graphic display software system for edge computing

J Luo - Journal of Computational Methods in Science and …, 2024 - journals.sagepub.com
With the increase of data volume in edge device, the importance of edge computing is also
gradually highlighted. The demand for edge device to complete data calculation is also …

Therapeutic target identification and evaluation using machine learning

S Das, K Manjunath, A Biswas… - … Protein Targets For Drug …, 2023 - World Scientific
The challenges and failures in the drug discovery process in different stages not only delay
the discovery but also increase the average expenses in this. Finding the suitable druggable …