Discovering protein drug targets using knowledge graph embeddings

SK Mohamed, V Nováček, A Nounu - Bioinformatics, 2020 - academic.oup.com
Motivation Computational approaches for predicting drug–target interactions (DTIs) can
provide valuable insights into the drug mechanism of action. DTI predictions can help to …

PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins

T Lazar, E Martínez-Pérez, F Quaglia… - Nucleic acids …, 2021 - academic.oup.com
Abstract The Protein Ensemble Database (PED)(https://proteinensemble. org), which holds
structural ensembles of intrinsically disordered proteins (IDPs), has been significantly …

NCBI's conserved domain database and tools for protein domain analysis

M Yang, MK Derbyshire, RA Yamashita… - Current protocols in …, 2020 - Wiley Online Library
Abstract The Conserved Domain Database (CDD) is a freely available resource for the
annotation of sequences with the locations of conserved protein domain footprints, as well …

Alarming India‐wide phenomenon of antifungal resistance in dermatophytes: a multicentre study

A Ebert, M Monod, K Salamin, A Burmester, S Uhrlaß… - Mycoses, 2020 - Wiley Online Library
Background An alarming increase in recalcitrant dermatophytosis has been witnessed in
India over the past decade. Drug resistance may play a major role in this scenario …

[HTML][HTML] Functional genetics of human gut commensal Bacteroides thetaiotaomicron reveals metabolic requirements for growth across environments

H Liu, AL Shiver, MN Price, HK Carlson, VV Trotter… - Cell reports, 2021 - cell.com
Harnessing the microbiota for beneficial outcomes is limited by our poor understanding of
the constituent bacteria, as the functions of most of their genes are unknown. Here, we …

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction

R You, S Yao, H Mamitsuka, S Zhu - Bioinformatics, 2021 - academic.oup.com
Motivation Automated function prediction (AFP) of proteins is a large-scale multi-label
classification problem. Two limitations of most network-based methods for AFP are (i) a …

[HTML][HTML] The Welwitschia genome reveals a unique biology underpinning extreme longevity in deserts

T Wan, Z Liu, IJ Leitch, H Xin, G Maggs-Kölling… - Nature …, 2021 - nature.com
The gymnosperm Welwitschia mirabilis belongs to the ancient, enigmatic gnetophyte
lineage. It is a unique desert plant with extreme longevity and two ever-elongating leaves …

[HTML][HTML] Zika virus targets glioblastoma stem cells through a SOX2-integrin αvβ5 axis

Z Zhu, P Mesci, JA Bernatchez, RC Gimple, X Wang… - Cell stem cell, 2020 - cell.com
Zika virus (ZIKV) causes microcephaly by killing neural precursor cells (NPCs) and other
brain cells. ZIKV also displays therapeutic oncolytic activity against glioblastoma (GBM) stem …

[HTML][HTML] Review on the computational genome annotation of sequences obtained by next-generation sequencing

GF Ejigu, J Jung - Biology, 2020 - mdpi.com
Simple Summary Due to the development of high-throughput sequencing technologies,
computational genome annotation of sequences has become one of the principal research …

Medical knowledge graph: Data sources, construction, reasoning, and applications

X Wu, J Duan, Y Pan, M Li - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …