Xiaoting Li

Publications

Integrating CSF and EV Proteomes Enhances Biomarker Discovery by Capturing Shared Variation Across Compartments.

BRP Brown, X Li, MR Grasty, AD Miranker, G Gürsoy

(2026)

(doi: 10.64898/2026.09.30.754912)

African green monkeys respond to synthetic Aβ oligomers with persistent Alzheimer’s-like activation

BRP Brown, X Li, MR Grasty, IR Lopez, S Dzigurski, MN Geradi, MR Weed, JD Elsworth, MS Lawrence, G Gürsoy, AD Miranker

– Communications Biology

(2026)

(doi: 10.1038/s42003-026-10968-5)

African Green Monkey Cerebrospinal Fluid miRNome Captures Conserved miRNAs Relevant to Human Neurodegenerative Disease.

S Dzigurski, R Al-Abri, X Li, MR Grasty, AC Rodrigues, MR Weed, JD Elsworth, MS Lawrence, YJ Heng, CS Bogsan, P Naderi Yeganeh, WA Hide, FJ Slack, G Gursoy, AD Miranker, BRP Brown

(2026)

(doi: 10.64898/2026.08.07.743104)

Accurate affinity models for SH2 domains from peptide binding assays and free-energy regression

D Gagoski, HT Rube, C Rastogi, LAN Melo, X Li, R Voleti, NH Shah, HJ Bussemaker

– Protein Sci

(2025)

34,

e70317

(doi: 10.1002/pro.70317)

Accurate sequence-to-affinity models for SH2 domains from multi-round peptide binding assays coupled with free-energy regression.

D Gagoski, HT Rube, C Rastogi, LAN Melo, X Li, R Voleti, NH Shah, HJ Bussemaker

(2025)

(doi: 10.1101/2024.12.23.630085)

Benchmarking and building DNA binding affinity models using allele-specific and allele-agnostic transcription factor binding data.

X Li, LAN Melo, HJ Bussemaker

– Genome Biology

(2024)

25,

284

(doi: 10.1186/s13059-024-03424-2)

Private information leakage from single-cell count matrices

CR Walker, X Li, M Chakravarthy, W Lounsbery-Scaife, YA Choi, R Singh, G Gürsoy

– Cell

(2024)

187,

6537

(doi: 10.1016/j.cell.2024.09.012)

Benchmarking DNA binding affinity models using allele-specific transcription factor binding data

X Li, LAN Melo, HJ Bussemaker

(2023)

(doi: 10.1101/2023.12.15.571887)

Identifying genetic regulatory variants that affect transcription factor activity

X Li, T Lappalainen, HJ Bussemaker

– Cell genomics

(2023)

100382

(doi: 10.1016/j.xgen.2023.100382)

Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning

HT Rube, C Rastogi, S Feng, JF Kribelbauer, A Li, B Becerra, LAN Melo, BV Do, X Li, HH Adam, NH Shah, RS Mann, HJ Bussemaker

– Nature Biotechnology

(2022)

40,

1520

(doi: 10.1038/s41587-022-01307-0)

Department of Applied Mathematics and Theoretical Physics

Publications

Research Group

Study at Cambridge

About the University

Research at Cambridge