E pluribus unum: 50 years of research, millions of viruses, and one goal—tailored acceleration of AAV evolution
D Grimm, S Zolotukhin - Molecular Therapy, 2015 - cell.com
Fifty years ago, a Science paper by Atchison et al. reported a newly discovered virus that
would soon become known as adeno-associated virus (AAV) and that would subsequently …
would soon become known as adeno-associated virus (AAV) and that would subsequently …
Incipient functional SARS-CoV-2 diversification identified through neural network haplotype maps
S Delgado, P Somovilla, C Ferrer-Orta… - Proceedings of the …, 2024 - National Acad Sciences
Since its introduction in the human population, SARS-CoV-2 has evolved into multiple
clades, but the events in its intrahost diversification are not well understood. Here, we …
clades, but the events in its intrahost diversification are not well understood. Here, we …
Mutation and recombination in pathogen evolution: Relevance, methods and controversies
Mutation and recombination drive the evolution of most pathogens by generating the genetic
variants upon which selection operates. Those variants can, for example, confer resistance …
variants upon which selection operates. Those variants can, for example, confer resistance …
Consequences of substitution model selection on protein ancestral sequence reconstruction
R Del Amparo, M Arenas - Molecular biology and evolution, 2022 - academic.oup.com
The selection of the best-fitting substitution model of molecular evolution is a traditional step
for phylogenetic inferences, including ancestral sequence reconstruction (ASR). However, a …
for phylogenetic inferences, including ancestral sequence reconstruction (ASR). However, a …
Quasispecies fitness partition to characterize the molecular status of a viral population. Negative effect of early ribavirin discontinuation in a chronically infected HEV …
The changes occurring in viral quasispecies populations during infection have been
monitored using diversity indices, nucleotide diversity, and several other indices to …
monitored using diversity indices, nucleotide diversity, and several other indices to …
Parallel evolution of HIV-1 in a long-term experiment
F Bertels, C Leemann, KJ Metzner… - Molecular Biology and …, 2019 - academic.oup.com
One of the most intriguing puzzles in biology is the degree to which evolution is repeatable.
The repeatability of evolution, or parallel evolution, has been studied in a variety of model …
The repeatability of evolution, or parallel evolution, has been studied in a variety of model …
[HTML][HTML] INAUGURAL ARTICLE by a Recently Elected Academy Member: Incipient functional SARS-CoV-2 diversification identified through neural network haplotype …
S Delgado, P Somovilla, C Ferrer-Orta… - Proceedings of the …, 2024 - ncbi.nlm.nih.gov
Since its introduction in the human population, SARS-CoV-2 has evolved into multiple
clades, but the events in its intrahost diversification are not well understood. Here, we …
clades, but the events in its intrahost diversification are not well understood. Here, we …
A two-level, intramutant spectrum haplotype profile of hepatitis C virus revealed by self-organized maps
ABSTRACT RNA viruses replicate as complex mutant spectra termed viral quasispecies.
The frequency of each individual genome in a mutant spectrum depends on its rate of …
The frequency of each individual genome in a mutant spectrum depends on its rate of …
[HTML][HTML] Influence of substitution model selection on protein phylogenetic tree reconstruction
R Del Amparo, M Arenas - Gene, 2023 - Elsevier
Probabilistic phylogenetic tree reconstruction is traditionally performed under a best-fitting
substitution model of molecular evolution previously selected according to diverse statistical …
substitution model of molecular evolution previously selected according to diverse statistical …
Self-organizing map for characterizing heterogeneous nucleotide and amino acid sequence motifs
X Xia - Computation, 2017 - mdpi.com
A self-organizing map (SOM) is an artificial neural network algorithm that can learn from the
training data consisting of objects expressed as vectors and perform non-hierarchical …
training data consisting of objects expressed as vectors and perform non-hierarchical …