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Coronavirus Disease 2019 (COVID-19) has been creating a worldwide pandemic situation. Repurposing drugs, already shown to be free of harmful side effects, for the treatment of COVID-19 patients is an important option in launching novel…

We examine a pair of graph generative models for the therapeutic design of novel drug candidates targeting SARS-CoV-2 viral proteins. Due to a sense of urgency, we chose well-validated models with unique strengths: an autoencoder that…

生物大分子 · 定量生物学 2021-05-24 Jenna Bilbrey , Logan Ward , Sutanay Choudhury , Neeraj Kumar , Ganesh Sivaraman

Design of new drug compounds with target properties is a key area of research in generative modeling. We present a small drug molecule design pipeline based on graph-generative models and a comparison study of two state-of-the-art graph…

机器学习 · 计算机科学 2021-02-10 Logan Ward , Jenna A. Bilbrey , Sutanay Choudhury , Neeraj Kumar , Ganesh Sivaraman

There have been more than 850,000 confirmed cases and over 48,000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone.…

定量方法 · 定量生物学 2020-05-25 Xiangxiang Zeng , Xiang Song , Tengfei Ma , Xiaoqin Pan , Yadi Zhou , Yuan Hou , Zheng Zhang , George Karypis , Feixiong Cheng

The 2019 novel coronavirus (SARS-CoV-2) pandemic has resulted in more than a million deaths, high morbidities, and economic distress worldwide. There is an urgent need to identify medications that would treat and prevent novel diseases like…

机器学习 · 计算机科学 2020-12-04 Siddhant Doshi , Sundeep Prabhakar Chepuri

Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected by SARS-CoV-2, a vast amount of drug research for prevention and treatment has been quickly conducted, but these efforts have been unsuccessful thus far. Our objective…

定量方法 · 定量生物学 2022-02-03 Kanglin Hsieh , Yinyin Wang , Luyao Chen , Zhongming Zhao , Sean Savitz , Xiaoqian Jiang , Jing Tang , Yejin Kim

The novel nature of SARS-CoV-2 calls for the development of efficient de novo drug design approaches. In this study, we propose an end-to-end framework, named CogMol (Controlled Generation of Molecules), for designing new drug-like small…

The SARS-CoV-2 pandemic has created a global race for a cure. One approach focuses on designing a novel variant of the human angiotensin-converting enzyme 2 (ACE2) that binds more tightly to the SARS-CoV-2 spike protein and diverts it from…

With the fast development of COVID-19 into a global pandemic, scientists around the globe are desperately searching for effective antiviral therapeutic agents. Bridging systems biology and drug discovery, we propose a deep learning…

In recent years, deep generative models for graphs have been used to generate new molecules. These models have produced good results, leading to several proposals in the literature. However, these models may have troubles learning some of…

机器学习 · 计算机科学 2020-09-03 Davide Rigoni , Nicolò Navarin , Alessandro Sperduti

The world has witnessed unprecedented human and economic loss from the COVID-19 disease, caused by the novel coronavirus SARS-CoV-2. Extensive research is being conducted across the globe to identify therapeutic agents against the…

The outbreak of COVID-19 caused millions of deaths worldwide, and the number of total infections is still rising. It is necessary to identify some potentially effective drugs that can be used to prevent the development of severe symptoms or…

分子网络 · 定量生物学 2022-09-07 Fan Hu , Jiaxin Jiang , Peng Yin

A molecular and cellular understanding of how SARS-CoV-2 variably infects and causes severe COVID-19 remains a bottleneck in developing interventions to end the pandemic. We sought to use deep learning to study the biology of SARS-CoV-2…

机器学习 · 计算机科学 2020-12-16 Arijit Sehanobish , Neal G. Ravindra , David van Dijk

Coronavirus disease 2019 (COVID-19) has impacted almost every part of human life worldwide, posing a massive threat to human health. There is no specific drug for COVID-19, highlighting the urgent need for the development of effective…

基因组学 · 定量生物学 2020-12-07 Zhihan Wang , Kai Guo , Pan Gao , Qinqin Pu , Min Wu , Changlong Li , Junguk Hur

In this work, we propose MEDICO, a Multi-viEw Deep generative model for molecule generation, structural optimization, and the SARS-CoV-2 Inhibitor disCOvery. To the best of our knowledge, MEDICO is the first-of-this-kind graph generative…

机器学习 · 计算机科学 2022-12-06 Chao Pang , Yu Wang , Yi Jiang , Ruheng Wang , Ran Su , Leyi Wei

The discovery of novel inhibitor molecules for emerging drug-target proteins is widely acknowledged as a challenging inverse design problem: Exhaustive exploration of the vast chemical search space is impractical, especially when the target…

Development of new drugs is an expensive and time-consuming process. Due to the world-wide SARS-CoV-2 outbreak, it is essential that new drugs for SARS-CoV-2 are developed as soon as possible. Drug repurposing techniques can reduce the time…

机器学习 · 计算机科学 2022-01-19 Shrimon Mukherjee , Madhusudan Ghosh , Partha Basuchowdhuri

COVID-19 is an infection caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2), which has caused a global outbreak. Current research efforts are focused on the understanding of the molecular mechanisms involved in…

The recent global pandemic of Coronavirus Disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the…

Severe acute respiratory syndrome coronavirus two (SARS-CoV-2), the virus responsible for the coronavirus disease 2019 (COVID-19) pandemic, represents an unprecedented global health challenge. Consequently, a large amount of research into…

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