paper-with-me

Papers

Machine Learning Harnesses Molecular Dynamics to Discover New $μ$ Opioid Chemotypes

2018-03-12 · Evan N. Feinberg, Amir Barati Farimani, Rajendra Uprety, Amanda Hunkele, Gavril W. Pasternak, Susruta Majumdar, Vijay S. Pande

Computational chemists typically assay drug candidates by virtually screening compounds against crystal structures of a protein despite the fact that some targets, like the $\mu$ Opioid Receptor and other members of the GPCR family, traverse many non-crystallographic states. We discover new conformational states of $\mu OR$ with molecular dynamics simulation and then machine learn ligand-structure relationships to predict opioid ligand function. These artificial intelligence models identified a novel $\mu$ opioid chemotype.

📄 PDF Abstract BibTeX arXiv:1803.04479

Code (0)

등록된 구현이 없습니다.

Tasks

BIG-bench Machine Learning

Similar Papers 제목 키워드 기반

Machine-learning Repurposing of DrugBank Compounds for Opioid Use Disorder

2023-03-01 · Hongsong Feng, Jian Jiang, Guo-Wei Wei

Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medications with improved efficacy and safety prof…

Drug Discovery

Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex

2023-06-13 · Hongsong Feng, Rui Wang, Chang-Guo Zhan, Guo-Wei Wei

Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various conditions, there is a pressing need for…

Understanding the factors driving the opioid epidemic using machine learning

2021-08-16 · Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng 외

In recent years, the US has experienced an opioid epidemic with an unprecedented number of drugs overdose deaths. Research finds such overdose deaths are linked to neighborhood-level traits, thus providing opportunity to…

BIG-bench Machine Learning

Binding Pathway of Opiates to $\mu$ Opioid Receptors Revealed by Unsupervised Machine Learning

2018-04-23

Many important analgesics relieve pain by binding to the $\mu$-Opioid Receptor ($\mu$OR), which makes the $\mu$OR among the most clinically relevant proteins of the G Protein Coupled Receptor (GPCR) family. Despite previ…

BIG-bench Machine Learning

Structure and dynamics of dynorphin peptide and its receptor

2019-06-27

Dynorphin is a neuropeptide involved in pain, addiction and mood regulation. It exerts its activity by binding to the kappa opioid receptor (KOP) which belongs to the large family of G-protein coupled receptors. The dyno…