Results 161 to 170 of about 1,386,749 (339)

Non-globular proteins in the era of high accurate structure prediction

, 2022
Alexander Monzon
openalex   +1 more source

Evaluation of in vitro toxicity of common phytochemicals included in weight loss supplements using 1H NMR spectroscopy

FEBS Open Bio, EarlyView.
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies, Garth L. Maker, Ian F. Musgrave, Samantha Lodge   +3 more
wiley   +1 more source

Prediction of solution structures of the Ca2+-bound gamma-carboxyglutamic acid domains of protein S and homolog growth arrest specific protein 6: use of the particle mesh Ewald method

, 1997
L. Perera, Leping Li, Thomas A. Darden, Dougald M. Monroe, L G Pedersen   +4 more
openalex   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction. [PDF]

Comput Struct Biotechnol J, 2023
Gil Zuluaga FH, D'Arminio N, Bardozzo F, Tagliaferri R, Marabotti A.   +4 more
europepmc   +1 more source

Application of Support Vector Machine in Prediction Secondary Structure Protein [PDF]

, 2019
Nahla Ibraheem Jabbar
openalex   +1 more source

Domain associated with zinc fingers‐containing NF90‐NF45 complex inhibits m6A modification of primary microRNA by suppressing METTL3/14 activity

FEBS Open Bio, EarlyView.
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi, Shunsuke Morioka, Keiko Morisawa, Kazutsugu Matsukawa, Shingo Ashida, Takeshi Suzuki, Shuji Sakamoto   +6 more
wiley   +1 more source

AlphaFold2 protein structure prediction: Implications for drug discovery. [PDF]

Curr Opin Struct Biol, 2023
Borkakoti N, Thornton JM.
europepmc   +1 more source

Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction [PDF]

, 2008
Ching-Wai Tan, David T. Jones
openalex   +1 more source

Protein structure prediction and analysis using the Robetta server

Nucleic Acids Res., 2004
David E. Kim, D. Chivian, D. Baker
semanticscholar   +1 more source