Collaborative Research: Conference: Workshop on Computational Structural Biology 2022
合作研究:会议:计算结构生物学研讨会 2022
基本信息
- 批准号:2231497
- 负责人:
- 金额:$ 1.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Computational Structural Bioinformatics Workshop (CSBW) is a single-track, one-day workshop featuring peer-reviewed works on advances in computational methods in structural biology. Understanding the fundamental role of protein and nucleotide structures in life processes involves many computational challenges. It is held as part of the IEEE-Bioinformatics and Biomedicine. New experimental and computational techniques that generate and use large amounts of structural data have enabled novel analysis approaches, leading to an increased understanding of different biophysical phenomena. CSBW provides a forum for discussion of the newest computational approaches related to protein structure discovery and analysis. Structural biology is an interdisciplinary field, and CSBW connects scientists who work on this topic through the lens of various academic areas, such as computer science, bioinformatics, biochemistry, and computational biology. One of the main goals of the proposed workshop is to connect undergraduate and graduate students to the computational bioinformatics community, giving them an opportunity to present their work to top scientists in the field and to network with their peers. Such interactions have a lasting impact in a student’s academic life, as they expose students to state-of-the-art research and creates the professional connections needed for career advancement.The proposed workshop will bring together senior researchers and students working on exploring the relationships between sequence, structure and protein function via computational structural bioinformatics. The workshop will showcase the newest developments on a diverse set of problems and computational methods, including: Structure representation, prediction, and alignment, biomolecular interaction and docking, molecular dynamics simulations, biomolecular graphics, coarse-grained modeling, data mining of structural data, structural genomics, optimization in structural problems, high-performance computing in modeling, graph theory applied to structural problems, and biomolecular structure refinement. The participation of researchers from diverse backgrounds will advance understanding of common scientific themes and may facilitate collaborations around shared research goals. Papers accepted to the workshop will be published in IEEE Xplore Digital Library. Workshop participants will also receive invitations for a special issue in a peer-reviewed journal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
计算结构生物信息学研讨会(CSBW)是一个单一的轨道,为期一天的研讨会,具有同行评议的工作进展计算方法在结构生物学。了解蛋白质和核苷酸结构在生命过程中的基本作用涉及许多计算挑战。它是IEEE-Bioinformatics and Biomedicine的一部分。产生和使用大量结构数据的新的实验和计算技术使新的分析方法成为可能,从而增加了对不同生物物理现象的理解。CSBW提供了一个讨论与蛋白质结构发现和分析相关的最新计算方法的论坛。结构生物学是一个跨学科的领域,CSBW通过计算机科学、生物信息学、生物化学和计算生物学等各个学术领域的透镜将研究这一主题的科学家联系起来。拟议研讨会的主要目标之一是将本科生和研究生与计算生物信息学社区联系起来,让他们有机会向该领域的顶级科学家展示他们的工作,并与同行建立联系。这种互动对学生的学术生活产生了持久的影响,因为它们使学生接触到最先进的研究,并为职业发展创造了所需的专业联系。拟议的研讨会将汇集高级研究人员和学生,通过计算结构生物信息学探索序列,结构和蛋白质功能之间的关系。研讨会将展示各种问题和计算方法的最新发展,包括:结构表示、预测和比对,生物分子相互作用和对接,分子动力学模拟,生物分子图形学,粗粒度建模,结构数据的数据挖掘,结构基因组学,结构问题的优化,建模中的高性能计算,应用于结构问题的图论,和生物分子结构的精细化。来自不同背景的研究人员的参与将促进对共同科学主题的理解,并可能促进围绕共同研究目标的合作。接受研讨会的论文将在IEEE Xplore数字图书馆发表。研讨会参与者还将收到同行评审期刊特刊的邀请。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Bruna Jacobson其他文献
An Efficient Voxel-Based Deep Learning Approach for Ligand Binding Site Detection
用于配体结合位点检测的高效的基于体素的深度学习方法
- DOI:
10.1109/bibm55620.2022.9995133 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jingbo Liang;Bruna Jacobson - 通讯作者:
Bruna Jacobson
Molecular tetris: crowdsourcing molecular docking using path-planning and haptic devices
分子俄罗斯方块:使用路径规划和触觉设备的众包分子对接
- DOI:
10.1145/2668084.2668086 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Torin Adamson;J. Baxter;Kasra Manavi;April Suknot;Bruna Jacobson;Patrick Gage Kelley;Lydia Tapia - 通讯作者:
Lydia Tapia
Using player generated data to elucidate molecular docking
使用玩家生成的数据来阐明分子对接
- DOI:
10.1145/3388440.3414704 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Torin Adamson;Selina Bauernfeind;Bruna Jacobson;Lydia Tapia - 通讯作者:
Lydia Tapia
Influence of model resolution on geometric simulations of antibody aggregation
模型分辨率对抗体聚集几何模拟的影响
- DOI:
10.1017/s0263574716000199 - 发表时间:
2016 - 期刊:
- 影响因子:2.7
- 作者:
Kasra Manavi;Bruna Jacobson;Brittany R. Hoard;Lydia Tapia - 通讯作者:
Lydia Tapia
Geometric Sampling Framework for Exploring Molecular Walker Energetics and Dynamics
用于探索分子沃克能量学和动力学的几何采样框架
- DOI:
10.1145/3107411.3107503 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Bruna Jacobson;Jon Christian L. David;Mitchell C. Malone;Kasra Manavi;S. Atlas;Lydia Tapia - 通讯作者:
Lydia Tapia
Bruna Jacobson的其他文献
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{{ truncateString('Bruna Jacobson', 18)}}的其他基金
III: Small: Facilitating Search in the High-Dimensional Space of Molecular Interactions
III:小:促进分子相互作用高维空间的搜索
- 批准号:
1716195 - 财政年份:2017
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
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