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 …
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
Abstract The Protein Ensemble Database (PED)(https://proteinensemble. org), which holds
structural ensembles of intrinsically disordered proteins (IDPs), has been significantly …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
computational genome annotation of sequences has become one of the principal research …
Medical knowledge graph: Data sources, construction, reasoning, and applications
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 …
been in use in a variety of intelligent medical applications. Thus, understanding the research …