Accelerating antibiotic discovery through artificial intelligence
MCR Melo, JRMA Maasch… - Communications …, 2021 - nature.com
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
Regulation of proteolysis plays a critical role in a myriad of important cellular processes. The
key to better understanding the mechanisms that control this process is to identify the …
key to better understanding the mechanisms that control this process is to identify the …
Integrated analyses of single-cell atlases reveal age, gender, and smoking status associations with cell type-specific expression of mediators of SARS-CoV-2 viral …
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, creates an urgent
need for identifying molecular mechanisms that mediate viral entry, propagation, and tissue …
need for identifying molecular mechanisms that mediate viral entry, propagation, and tissue …
ADCdb: the database of antibody–drug conjugates
L Shen, X Sun, Z Chen, Y Guo, Z Shen… - Nucleic Acids …, 2024 - academic.oup.com
Antibody-drug conjugates (ADCs) are a class of innovative biopharmaceutical drugs, which,
via their antibody (mAb) component, deliver and release their potent warhead (aka. payload) …
via their antibody (mAb) component, deliver and release their potent warhead (aka. payload) …
Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning
Molecular de-extinction could offer avenues for drug discovery by reintroducing bioactive
molecules that are no longer encoded by extant organisms. To prospect for antimicrobial …
molecules that are no longer encoded by extant organisms. To prospect for antimicrobial …
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
With the explosive growth of biological sequences generated in the post-genomic era, one
of the most challenging problems in bioinformatics and computational biology is to …
of the most challenging problems in bioinformatics and computational biology is to …
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome
Abstract Motivation DNA N6-methyladenine (6mA) is associated with a wide range of
biological processes. Since the distribution of 6mA site in the genome is non-random …
biological processes. Since the distribution of 6mA site in the genome is non-random …
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique
Motivation DNA replication is a key step to maintain the continuity of genetic information
between parental generation and offspring. The initiation site of DNA replication, also called …
between parental generation and offspring. The initiation site of DNA replication, also called …
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
Motivation Transcription termination is an important regulatory step of gene expression. If
there is no terminator in gene, transcription could not stop, which will result in abnormal …
there is no terminator in gene, transcription could not stop, which will result in abnormal …
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach
B Liu, K Li, DS Huang, KC Chou - Bioinformatics, 2018 - academic.oup.com
Motivation Identification of enhancers and their strength is important because they play a
critical role in controlling gene expression. Although some bioinformatics tools were …
critical role in controlling gene expression. Although some bioinformatics tools were …