Xiaochun Zhang

ICFinder: ion channel identification and ion permeation residue prediction using protein language models

ICFinder uses protein language models to identify ion channels and predict permeation residues, outperforming existing methods and providing a public resource.

Integrated ex vivo screening and transcriptomic profiling to prioritize drug combinations for rare cancers

The paper develops EXACT, a framework combining ex vivo drug screening with transcriptomic analysis to identify effective drug combinations for rare cancers, finding a MEK and HDAC inhibitor combination shows enhanced activity.

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

The paper introduces a toolkit using protein language models to define 'protein words' for functional prediction, outperforming motif-based methods across multiple tasks.

Immortalization and Characterization of Schwann Cell Lines Derived from NF1 Associated Cutaneous Neurofibromas

The paper develops and characterizes semi-immortalized Schwann cell lines from NF1-associated cutaneous neurofibromas to aid in studying and developing therapies for NF1.

Integrative analysis identifies candidate tumor microenvironment and intracellular signaling pathways that define tumor heterogeneity in NF1

The paper uses statistical and machine learning methods to analyze NF1 tumor genomic data, identifying key signaling pathways and molecular features associated with different tumor types and potential drug targets.

Using molecular ecological network analysis to explore the effects of chemotherapy on intestinal microbial communities of colorectal cancer patients

This study uses molecular ecological network analysis to examine how chemotherapy affects intestinal microbiota in colorectal cancer patients, finding reduced diversity and altered microbial interactions.