Results 101 to 110 of about 15,768,589 (336)

Bio-Strings: A Relational Database Data-Type for Dealing with Large Biosequences. [PDF]

BioTech (Basel), 2022
Lifschitz S, Haeusler EH, Catanho M, Miranda AB, Armas EM, Heine A, Moreira SGMP, Tristão C.   +7 more
europepmc   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

A deep learning mixed-data type approach for the classification of FHR signals. [PDF]

Front Bioeng Biotechnol, 2022
Spairani E, Daniele B, Signorini MG, Magenes G.   +3 more
europepmc   +1 more source

A novel gene selection method for gene expression data for the task of cancer type classification [PDF]

, 2021
N. Özlem ÖZCAN ŞİMŞEK, Arzucan Özgür, Fikret Gürgen   +2 more
openalex   +1 more source

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

FEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source

Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine. [PDF]

Comput Struct Biotechnol J, 2023
Mathema VB, Sen P, Lamichhane S, Orešič M, Khoomrung S.   +4 more
europepmc   +1 more source

Global and regional estimates of the contribution of herpes simplex virus type 2 infection to HIV incidence: a population attributable fraction analysis using published epidemiological data [PDF]

, 2019
Katharine J Looker, Nicky J. Welton, Keith Sabin, Shona Dalal, Peter Vickerman, Katy Turner, Marie‐Claude Boily, Sami L. Gottlieb   +7 more
openalex   +1 more source

Machine learning classifier approaches for predicting response to RTK-type-III inhibitors demonstrate high accuracy using transcriptomic signatures and ex vivo data [PDF]

, 2023
Mauricio Ferrato, Adam G. Marsh, Karl R. Franke, Benjamin J. Huang, E. Anders Kolb, Deborah DeRyckere, Douglas K Grahm, Sunita Chandrasekaran, Erin L. Crowgey   +8 more
openalex   +1 more source

The role and implications of mammalian cellular circadian entrainment

FEBS Letters, EarlyView.
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source