Latest updates for Network Pharmacology

Fresh curated links around network pharmacology are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Metarrestin’s Anti-Cancer Mechanism Mapped Through Network Pharmacology
  • In-silico personalized protein–protein interaction networks prioritize candidate compounds for glioblastoma
  • MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug–drug interaction prediction

Post angles to try

Share the most useful takeaway for your audience.
Turn one article into a quick practical checklist.
Ask your audience how this shift affects their work.
Turn angles into scheduled posts

Fresh articles and ideas

Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

bioengineer.org /2 weeks ago

Metarrestin’s Anti-Cancer Mechanism Mapped Through Network Pharmacology

A new network pharmacology study maps how the anti-metastatic drug metarrestin rewires cancer cell protein networks and identifies the cell-cycle regulator CDKN1B as its highest-af...

Read source
journals.plos.org /1 month ago

In-silico personalized protein–protein interaction networks prioritize candidate compounds for glioblastoma

by Nicoleta Siminea, Victor-Bogdan Popescu, Mihaela PДѓun, Ion Petre, Andrei PДѓun The incidence of cancer continues to rise globally, with many tumor types remaining difficult to...

Read source
journals.plos.org /1 week ago

MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug–drug interaction prediction

by Li Zhou, Yun Zuo, Wenying He, Zhaohong Deng Drug-drug interactions (DDIs) are critical in pharmacology, as synergistic or antagonistic effects between co-administered drugs can...

Read source
journals.plos.org /1 day ago

SADRP: A structurally aware multi-modal framework for drug response prediction

by Ren Qi, Shujia Liu, Tianhong Quan, Tianru Wu, Alexey K. Shaytan, Bin Liu Motivation Predicting drug sensitivity across diverse cancer samples is a fundamental challenge in perso...

Read source
journals.plos.org /1 month ago

A unified framework for potency-oriented AMP discovery via multi-modal learning and guided sequence synthesis

by Wenyu Zhang, Yizheng Wang, Yixiao Zhai, Pinglu Zhang, Yijie Ding, Quan Zou The rapid emergence of drug-resistant pathogens poses a critical threat to global health. With tradit...

Read source
bioengineer.org /2 weeks ago

New AI Method Ranks Metabolites by Their Impact on Graph Neural Network Predictions

Metabolomics, the large-scale study of small molecules in biological systems, has long faced a stubborn interpretability problem. Researchers can measure thousands of metabolites a...

Read source
journals.plos.org /1 month ago

Metal binding site alignment enables network-driven discovery of recurrent geometries across sequence-divergent proteins...

by Vetle Simensen, Eivind Almaas Metal-binding sites (MBSs) are critical determinants of protein stability and biological function, yet methods for comparing their local binding e...

Read source
journals.plos.org /1 month ago

GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors

by Anchi Sun, Yongjing Hao, Yijie Ding, Jing Chen, Hongjie Wu G protein-coupled receptors (GPCRs) are central membrane receptors and major therapeutic targets. However, predicting...

Read source
journals.plos.org /1 month ago

AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning

by Zhikang Yuan, Xin Zhang, Gaoming Lin, Quan Zou, Subhashisa Swain, Yijie Ding, Prayag Tiwari, Shuofeng Yuan, Xiaoyi Guo Gene expression profiles capture system-level drug respon...

Read source
bioengineer.org /3 weeks ago

AI-Powered Virtual Screening Uncovers Potent New Dual CDK4/6 Cancer Inhibitor

A team of researchers in China has combined machine learning, molecular docking and molecular dynamics simulations into a single computational pipeline that can sift through tens o...

Read source
journals.plos.org /1 month ago

AlloPool is a deep learning framework that infers protein allostery from molecular dynamics simulations

by Matthieu Marfoglia, Miguel A. Pedraza-Joya, Lucas Guirardel, Aisima Chatzi Souleiman, Patrick Barth Recent advances in artificial intelligence have transformed protein structur...

Read source
journals.plos.org /2 weeks ago

Bioactivity-driven prediction of antibacterial synergy using machine learning models

by Hannie Yousefabadi, Mahya Mehrmohamadi Motivation Combination therapies have demonstrated improved efficacy across diverse clinical settings. Predicting antibacterial drug syner...

Read source
journals.plos.org /1 month ago

PCIPG: A comprehensive framework for protein complex identification based on a probabilistic graphical model

by Yixiang Huang, Lei Yang, Jiudong Wang, Xinqi Gong Protein complexes are molecular machines that execute essential cellular functions, but their computational identification rem...

Read source
journals.plos.org /1 week ago

Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes

by Qingyang Yin, Liang Chen Identifying cancer driver genes and their therapeutic impact remains a core challenge in computational cancer biology. We introduce xNNDriver and xAEDr...

Read source

Turn fresh research into a full content calendar

Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.

Start creating posts

Sources covering Network Pharmacology

bioengineer.org

Recent coverage from public sources
Public source

journals.plos.org

Recent coverage from public sources
Public source

journals.plos.org

Recent coverage from public sources
Public source

Related searches

BMC Cancer Biology CDKN1B Cancer Health ML246 Pan-cancer analysis cell cycle metarrestin metastatic cancer molecular docking molecular dynamics

Recent searches

Artificial Intelligence Machine Learning Data Science Data Engineering Business Intelligence Web Development Software Development Software Testing Programming JavaScript DevOps Cyber Security Product Management Project Management Design UX UX Research Graphic Design Video Production Video Editing