Results 171 to 180 of about 1,170,066 (317)

Predicted α-helix/β-sheet secondary structures for the zinc-binding motifs of human papillomavirus E7 and E6 proteins by consensus prediction averaging and spectroscopic studies of E7 [PDF]

, 1996
Christopher G. Ullman, Parvez I. Haris, Denise A. Galloway, Vincent C. Emery, Stephen J. Perkins   +4 more
openalex   +1 more source

Matrigel inhibits elongation and drives endoderm differentiation in aggregates of mouse embryonic stem cells

FEBS Open Bio, EarlyView.
Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel, Rachel Brown, Alexa Rabeling, Mubeen Goolam   +3 more
wiley   +1 more source

NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks [PDF]

arXiv
Protein classification tasks are essential in drug discovery. Real-world protein structures are dynamic, which will determine the properties of proteins. However, the existing machine learning methods, like ProNet (Wang et al., 2022a), only access limited conformational characteristics and protein side-chain features, leading to impractical protein ...
arxiv  

The relationships between biophysical activity and the secondary structure of synthetic peptides from the pulmonary surfactant protein SP‐B [PDF]

, 1996
Joo Hyun Kang, Myung Kyu Lee, Kil Lyong Kim, Kyung‐Soo Hahm   +3 more
openalex   +1 more source

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

FEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa, Ilva Liekniņa, Svetlana Koteloviča, Ramona Petrovska, Gediminas Žvinys, Agne Petrosiute, Asta Zubrienė, Matīss Toms Laugalis, Vendija Skeltona, Juris Jansons, Madara Kreishmane, Edita Čapkauskaitė, Daumantas Matulis, Kaspars Tārs   +13 more
wiley   +1 more source

Further Characterization of Protein Secondary Structures in Purple Membrane by Circular Dichroism and Polarized Infrared Spectroscopies

, 1985
E. Nabedryk, Anne-Marie Bardin, J. Breton   +2 more
openalex   +1 more source

Secondary structure of a calcium binding protein (CaBP) from Entamoeba histolytica [PDF]

, 1999
Sarata C. Sahu, Alok Bhattacharya, Kandala V. R. Chary, Girjesh Govil   +3 more
openalex   +1 more source

Knockout of the mitoribosome rescue factors Ict1 or Mtrfr is viable in zebrafish but not mice: compensatory mechanisms underlying each factor's loss

FEBS Open Bio, EarlyView.
Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki, Chika Tomisawa, Soichiro Hoshino, Hidehiko Shimizu, Masashi Abe, Sho Arai, Kanako Kuwasako, Naoki Asakawa, Yusuke Inoue, Takuro Horii, Izuho Hatada, Masakatsu Watanabe   +11 more
wiley   +1 more source

Effect of Northwest Fermentation Agents on the Quality of Mung Bean Bread by Fermenting Mung Bean Powder

Shipin gongye ke-ji
In order to improve the baking characteristics and nutritional quality of mung bean bread, mung bean sourdough was made by fermenting mung bean flour using Northwest leavening head, and then combined with yeast as a compound leavening agent to make mung ...
Weichao GUAN, Weijia ZHANG, Lijun DONG, Man LI, Xiling ZHANG, Chenqi GU, Xiufa HU, Xiaoming WANG, Xiaoliang HAO, Chanmin ZHENG, Yuguang ZHANG, Qingyu YANG   +11 more
doaj   +1 more source

Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification [PDF]

arXiv
Protein structures represent the key to deciphering biological functions. The more detailed form of similarity among these proteins is sometimes overlooked by the conventional structural comparison methods. In contrast, further advanced methods, such as Triangular Spatial Relationship (TSR), have been demonstrated to make finer differentiations. Still,
arxiv