日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Deep generative models of protein structure uncover distant relationships across a continuous fold space

蛋白质结构的深度生成模型揭示了连续折叠空间中的远距离关系。

Draizen, Eli J; Veretnik, Stella; Mura, Cameron; Bourne, Philip E

Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data

Prop3D:一个灵活的、基于 Python 的机器学习平台,可用于处理蛋白质结构特性和生物物理数据。

Draizen, Eli J; Readey, John; Mura, Cameron; Bourne, Philip E

The curse of the protein ribbon diagram

蛋白质带状图的诅咒

Bourne, Philip E; Draizen, Eli J; Mura, Cameron

The EVcouplings Python framework for coevolutionary sequence analysis

用于共进化序列分析的 EVcouplings Python 框架

Hopf, Thomas A; Green, Anna G; Schubert, Benjamin; Mersmann, Sophia; Schärfe, Charlotta P I; Ingraham, John B; Toth-Petroczy, Agnes; Brock, Kelly; Riesselman, Adam J; Palmedo, Perry; Kang, Chan; Sheridan, Robert; Draizen, Eli J; Dallago, Christian; Sander, Chris; Marks, Debora S

Nurturing tomorrow's leaders: The ISCB Student Council Symposia in 2018

培养未来的领导者:2018 年 ISCB 学生理事会研讨会

Parisi, Daniele; Olguín-Orellana, Gabriel J; Draizen, Eli J; Da Rocha Coimbra, Nilson; Papadopoulos, Nikolaos; Kirchen, Susanne; Gladbach, Yvonne Saara; Fadra, Numrah; Fatima, Nazeefa; Alex Namasivayam, Aishwarya; Shome, Sayane; DeBlasio, Dan; Monzon, Alexander M; Rahman, Farzana; Parra, R Gonzalo

Harnessing Big Data for Systems Pharmacology

利用大数据进行系统药理学研究

Xie, Lei; Draizen, Eli J; Bourne, Philip E

An editor for the generation and customization of geometry restraints

用于生成和自定义几何约束的编辑器

Moriarty, Nigel W; Draizen, Eli J; Adams, Paul D