Related Experiment Videos
Hallucinogens acting at 5-HT receptors: toward a mechanistic understanding at atomic resolution
H Weinstein1, D Zhang, J A Ballesteros
1Department of Physiology and Biophysics, City University of New York, NY 10029-6574, USA.
Abstract
No abstract available in PubMed .
Related Concept Videos
Articles linked to this work by shared authors, journal, and citation graph.
[Inhibition of HBV gene expression by antisense oligonucleotides using galactosylated poly (L-lysine) as a hepatotropic carrier].
Zhonghua shi yan he lin chuang bing du xue za zhi = Zhonghua shiyan he linchuang bingduxue zazhi = Chinese journal of experimental and clinical virology·2001
[Chemical characteristics of fresh snow in Mount Everest Region].
Huan jing ke xue= Huanjing kexue·2001
[Comparison of specific immune responses to duck hepatitis B virus in infected, immune, and uninfected ducks].
Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology·2001
[Influence of electroporation on the biological activities of primary rat hepatocytes].
Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology·2001
Association of provider and patient characteristics with HIV-infected women's antiretroviral therapy regimen.
Journal of acquired immune deficiency syndromes (1999)·2001
Substance abuse vulnerability in offspring of alcohol and drug abusers.
NIDA research monograph·1998
Generative Chemistry Platform for Small Molecules Targeting RNA: A Case Study for Chemical Optimization.
Computational and structural biotechnology journal·2026
Multi-state Structure Prediction of G Protein-Coupled Receptor Proteins via Prompting on AlphaFold.
Computational and structural biotechnology journal·2026
Bis-thiosemicarbazone derivative as starting agent for synthesis of anti-breast cancer agents and targeting PIM-1 kinase.
Future medicinal chemistry·2026
DFRL-Mol: a dual-stage framework of reinforcement learning for multi-scenario molecule optimization.
Briefings in bioinformatics·2026
AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning.
PLoS computational biology·2026