Author
Alec P. Pankow
University of WashingtonORCID 0000-0001-9108-1683Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2020-2026 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author links7 papers
Recent·Most cited
- Cell BiologybioRxivPreprintDOI 10.64898/2026.09.24.754138
- MicrobiologyNature CommunicationsPeer-reviewed
Long-Read Deep Sequencing Reveals High Rates of Multilineage Transmission and Rapid Viral Population Changes in Acute HIV Infection
James I. Mullins, Wenjie Deng, Elena E. Giorgi…·Carolyn E. Williamson
The paper uses long-read sequencing to study HIV transmission and population dynamics in acute infection, finding high multilineage transmission rates and rapid viral evolution.
7 citationstop 1% - Systems BiologybioRxivPreprint
Gene regulatory networks define human airway epithelial cell types and their distinct responses to type I interferon
Anthony T. Bejjani, Alec P. Pankow, Ava R. Lamberty…·Emily R. Miraldi
The paper characterizes gene regulatory networks in human airway epithelial cells and identifies cell type-specific responses to type I interferon.
- Molecular BiologyNature CommunicationsPeer-reviewed
Influence of the broadly neutralizing antibody VRC01 on HIV breakthrough virus populations in antibody-mediated prevention trials
Carolyn E. Williamson, Chivonne Moodley, Craig A. Magaret…·James I. Mullins
The paper analyzes HIV breakthrough virus populations in antibody-mediated prevention trials, finding high rates of multilineage infections and recombination under VRC01 treatment.
3 citationstop 2% - MicrobiologybioRxivPreprint
VRC01 Selects Rare HIV Escape Mutations After Acquisition in Antibody-Mediated Prevention Trials
Carolyn E. Williamson, Lyle Curry, Nonhlanhla N. Mkhize…·James I. Mullins
This study identifies VRC01-mediated viral escape mutations in HIV-infected participants from antibody-mediated prevention trials, showing that VRC01 can select for escape variants with cross-resistance to other CD4bs bnAbs.
2 citations - Molecular BiologyVirus EvolutionPeer-reviewed
Optimized SMRT-UMI protocol produces highly accurate sequence datasets from diverse populations - application to HIV-1 quasispecies
Dylan H. Westfall, Wenjie Deng, Alec P. Pankow…·James I. Mullins
The paper presents an optimized SMRT-UMI protocol and bioinformatics pipeline to generate highly accurate sequence datasets from diverse pathogens, demonstrated on HIV-1 quasispecies.
32 citationstop 4% - BioinformaticsbioRxivPreprint
Estimating the timing of HIV infection from unmutated sequences
Alec P. Pankow, Murray B. Christian, Natalie Smith…·Ben Murrell
This paper introduces a Bayesian method to estimate HIV infection timing from unmutated sequences, avoiding data curation and providing accurate results robust to complications like APOBEC hypermutation.
DOI 10.1101/2020.11.28.402271