Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
The potential of the diverse chemistries present in natural products (NP) for biotechnology
and medicine remains untapped because NP databases are not searchable with raw data …
and medicine remains untapped because NP databases are not searchable with raw data …
Large language models generate functional protein sequences across diverse families
Deep-learning language models have shown promise in various biotechnological
applications, including protein design and engineering. Here we describe ProGen, a …
applications, including protein design and engineering. Here we describe ProGen, a …
[HTML][HTML] High-throughput total RNA sequencing in single cells using VASA-seq
Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated
transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes …
transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes …
[HTML][HTML] Soluble ACE2-mediated cell entry of SARS-CoV-2 via interaction with proteins related to the renin-angiotensin system
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause acute
respiratory disease and multiorgan failure. Finding human host factors that are essential for …
respiratory disease and multiorgan failure. Finding human host factors that are essential for …
CAMPR4: a database of natural and synthetic antimicrobial peptides
There has been an exponential increase in the design of synthetic antimicrobial peptides
(AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues …
(AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues …
A genome-wide transcriptomic analysis of protein-coding genes in human blood cells
INTRODUCTION Blood is the predominant source for molecular analyses in humans, both in
clinical and research settings, and is the target for many therapeutic strategies, emphasizing …
clinical and research settings, and is the target for many therapeutic strategies, emphasizing …
Progen: Language modeling for protein generation
Generative modeling for protein engineering is key to solving fundamental problems in
synthetic biology, medicine, and material science. We pose protein engineering as an …
synthetic biology, medicine, and material science. We pose protein engineering as an …
[HTML][HTML] Clustering huge protein sequence sets in linear time
M Steinegger, J Söding - Nature communications, 2018 - nature.com
Metagenomic datasets contain billions of protein sequences that could greatly enhance
large-scale functional annotation and structure prediction. Utilizing this enormous resource …
large-scale functional annotation and structure prediction. Utilizing this enormous resource …
[HTML][HTML] Toward the solution of the protein structure prediction problem
Since Anfinsen demonstrated that the information encoded in a protein's amino acid
sequence determines its structure in 1973, solving the protein structure prediction problem …
sequence determines its structure in 1973, solving the protein structure prediction problem …