Network chemistry, network toxicology, network informatics, and network behavioristics: A scientific outline

WenJun Zhang

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Network chemistry, network toxicology, network informatics, and network behavioristics: A scientific outline

机译：网络化学，网络毒理学，网络信息学和网络行为学：科学概述

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摘要

In present study, I proposed some new sciences: network chemistry, network toxicology, network informatics, and network behavioristics. The aims, scope and scientific foundation of these sciences are outlined.

机译：在当前的研究中，我提出了一些新科学：网络化学，网络毒理学，网络信息学和网络行为学。概述了这些科学的目的，范围和科学基础。

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《Network Biology》 |2016年第1期|共3页
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WenJun Zhang;
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中图分类生物科学;
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1. Novel web-based tools combining chemistry informatics, biology and social networks for drug discovery. [J] . Hohman M, Gregory K, Chibale K, Drug discovery today . 2009,第5a6期

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2. Evolving gene regulatory networks into cellular networks guiding adaptive behavior: an outline how single cells could have evolved into a centralized neurosensory system [J] . Fritzsch Bernd, Jahan Israt, Pan Ning, Cell and Tissue Research . 2015,第1期

机译：将基因调控网络发展为指导适应性行为的细胞网络：概述单细胞如何演变为集中式神经感觉系统
3. Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology [J] . Adrian J.Green, Martin J.Mohlenkamp, Jhuma Das, PLoS Computational Biology . 2021,第7期

机译：利用高吞吐量筛选数据，深神经网络和有条件的生成对抗网络来推进预测性毒理学
4. Proceedings ICPP 2004 Workshops on Mobile and Wireless Networking, High Performance Scientific and Engineering Computing, Network Design and Architecture, Optical Networks Control and Management, Ad Hoc and Sensor Networks, Compile and Run Time Techniques [C] . Multi-Octave Microwave Circuits . 1991

机译：会议记录ICPP 2004讲习班，内容涉及移动和无线网络，高性能科学和工程计算，网络设计和架构，光网络控制和管理，自组织和传感器网络，编译和运行时技术
5. Optical Cloud Networking and Named Data Networking for High Speed Scientific Data Transfer [D] . Alhowaidi, Mohammad A. 2019

机译：用于高速科学数据传输的光云网络和命名数据网络
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7. We develop a model of scientific creativity and test it in the field of rare diseases. Our model is based on the results of an in-depth case study of the Rett syndrome. Archival analysis, bibliometric techniques and expert surveys are combined with network analysis to identify the most creative scientists. First, alternative measures of generative and combinatorial creativity are compared. Then, we generalize our results and present a stochastic model of socio-semantic network evolution. The model predictions are tested with multiple networks of rare disease specialties. We find that new scientific collaborations among experts in a field enhance combinatorial creativity. Instead, high entry rates of novices are negatively related to generative creativity. By extending the set of useful concepts, creative scientists gain in centrality. At the same time, by increasing their centrality in the scientific community, scientists can replicate and generalize their results, thus contributing to a scientific paradigm. [O] . Massimo Riccaboni, Maria Laura Frigotto 100

机译：我们开发了一种科学创造力模型，并在稀有疾病领域进行测试。我们的模型基于对Rett综合征的深入案例研究的结果。档案分析，文献计量技术和专家调查与网络分析相结合，以确定最具创造力的科学家。首先，比较生成和组合创造力的替代措施。然后，我们推广了我们的结果，并提出了社会语义网络演化的随机模型。模型预测用多个罕见疾病专业网络进行测试。我们发现，一个领域的专家之间的新的科学合作增强了组合创造力。相反，新手的高入门率与生成创造力负相关。通过扩展这组有用的概念，创造性的科学家获得了中心地位。同时，通过增加科学界的中心地位，科学家们可以复制和推广他们的结果，从而促进科学范式的发展。

Network chemistry, network toxicology, network informatics, and network behavioristics: A scientific outline

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