paper-with-me

홈 › Papers

High Throughput Screening of Expression Constructs using Microcapillary Arrays

2025-01-29 · Khushank Singhal, Harry Adamson, Thomas Baer, Howard Salis, Melik Demirel

Gene expression is a complex phenomenon involving numerous interlinked variables, and studying these variables to control expression is essential in bioengineering and biomanufacturing. While cloning techniques for achieving plasmid libraries that cover large design spaces exist, multiplex techniques offering cell culture screening at similar scales are still lacking. We introduced a microcapillary array-based platform aimed at high-throughput, multiplex screening of miniature cell cultures through fluorescent reporters.

📄 PDF Abstract BibTeX arXiv:2501.17647

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI)

2016-12-23 · BMC Systems Biology 2016 12 · Cong Liu, Jianping Jiang, Jianlei Gu, Zhangsheng Yu 외

Background High-throughput technology could generate thousands to millions biomarker measurements in one experiment. However, results from high throughput analysis are often barely reproducible due to small sample size.…

Bayesian Multi Plate High Throughput Screening of Compounds

2017-09-28 · Ivo D. Shterev, David B. Dunson, Cliburn Chan, Gregory D. Sempowski

High throughput screening of compounds (chemicals) is an essential part of drug discovery [7], involving thousands to millions of compounds, with the purpose of identifying candidate hits. Most statistical tools, includi…

Drug DiscoverySpecificityVocal Bursts Intensity Prediction

Text-Augmented Multimodal LLMs for Chemical Reaction Condition Recommendation

2024-07-21 · Yu Zhang, Ruijie Yu, Kaipeng Zeng, Ding Li 외

High-throughput reaction condition (RC) screening is fundamental to chemical synthesis. However, current RC screening suffers from laborious and costly trial-and-error workflows. Traditional computer-aided synthesis plan…

High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models

2021-04-09 · Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett 외

Structure-based Deep Fusion models were recently shown to outperform several physics- and machine learning-based protein-ligand binding affinity prediction methods. As part of a multi-institutional COVID-19 pandemic resp…

BIG-bench Machine Learning

Accelerating high-throughput virtual screening through molecular pool-based active learning

2020-12-13 · David E. Graff, Eugene I. Shakhnovich, Connor W. Coley

Structure-based virtual screening is an important tool in early stage drug discovery that scores the interactions between a target protein and candidate ligands. As virtual libraries continue to grow (in excess of $10^8$…

Active LearningBayesian OptimizationDrug DiscoveryVocal Bursts Intensity Prediction