PIPages
Labs

Xingcheng Lin

North Carolina State University, NC·Biophysics·Early-career

Nearly every step in reading out genetic information depends on proteins binding to DNA or RNA, and on how DNA is folded inside the cell nucleus. Both affect which genes turn on.

Fields

Biophysics

Chemistry

Computer Science

Topics

protein–nucleic acid interactions

protein-DNA binding

protein-RNA binding

Grants
2 known grants, through May 2031

What they work on

  1. Develop a physics-informed AI model that predicts how strongly proteins bind specific DNA or RNA sequences, combining sequence, structure and dynamics so it stays accurate when experimental training data are sparse.
  2. Use the binding models to design oligonucleotide aptamers, short DNA or RNA strands that latch onto selected target proteins, and test predictions with partner labs studying DNA mismatch recognition and aptamer selection.
  3. Release the validated models as a publicly accessible computational platform for rapid prediction of protein–nucleic acid binding affinities and high-affinity sequence motifs.
  4. Build a residue-level simulation of hundreds of nucleosomes to test how histone acetylation, ubiquitylation and methylation, together with regulatory proteins, reshape higher-order chromatin structure and gene regulation.
  5. Simulate how epigenetic tags drive chromatin phase separation into condensates in the crowded nucleus, and how this crowded environment in turn alters biomolecular interactions and genome compartmentalization.

More about the research

The lab combines artificial intelligence (AI) with physics-based computer modeling to predict these molecular interactions. One project predicts how strongly proteins grip specific DNA or RNA sequences. The other simulates how chemical tags on DNA's packaging proteins reshape the folded genome.

Why it matters

Errors in epigenetic regulation have been linked to many human diseases, and mapping how specific histone tags organize the genome could guide therapies that target this dysregulation. Fast, accurate prediction of protein–DNA and protein–RNA binding could speed discovery of therapeutic and diagnostic oligonucleotide aptamers, and support biotechnology efforts to tune gene expression, such as improving responses to stress and environmental conditions.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

CAREER: Unraveling the Epigenetic Grammar Governing Chromatin Organization

NSF · Jun 2026 – May 2031

Integrating Sequence, Structure, and Dynamics for Predicting and Designing Nucleic Acids

NSF · Aug 2026 – Jul 2029

Closest labs

Bruce Armitage

Carnegie Mellon University, PA·Chemistry

Design fluorescent peptide nucleic acid (PNA) probes that bind unmodified C9orf72 repeat RNAs, so these RNAs can be seen in biomolecular condensates by microscopy.

Priya R. Banerjee

University at Buffalo, NY·Biophysics·Early-career

Test whether pioneer transcription factors, proteins that can bind DNA packed into closed chromatin, act by forming liquid-like droplets on DNA that concentrate RNA polymerases and nucleosome-remodeling complexes to switch genes on.

Yong Wang

Pennsylvania State University, PA·Biomedical Engineering

Develop a one-step, three-dimensional method to select aptamers, short DNA or RNA strands that bind targets tightly, inside a non-fouling macroporous hydrogel that resists unwanted sticking.

The school

North Carolina State University: 40 labs on PI Pages, $717M a year on research, 603 research doctorates a year.

More about North Carolina State University

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