Results 241 to 250 of about 1,677,396 (366)

AI-Driven Deep Learning Techniques in Protein Structure Prediction. [PDF]

Int J Mol Sci
Chen L, Li Q, Nasif KFA, Xie Y, Deng B, Niu S, Pouriyeh S, Dai Z, Chen J, Xie CY.   +9 more
europepmc   +1 more source

Reliability of Assessment of Protein Structure Prediction Methods [PDF]

, 2002
Marc A. Martı́-Renom, M. S. Madhusudhan, András Fiser, Burkhard Rost, Andrej Šali   +4 more
openalex   +1 more source

Fecal Microbiota Transplantation Modulates Th17/Treg Balance via JAK/STAT Pathway in ARDS Rats

Advanced Biology, EarlyView.
Fecal microbiota transplantation (FMT) alleviates lung and intestinal injury in lipopolysaccharide (LPS)‐induced acute respiratory distress syndrome (ARDS) in rats. This study demonstrates that FMT restores the balance between Th17 and Treg cells, inhibits the JAK/STAT pathway, and modulates cytokine levels, reducing inflammation and lung damage. These
Dongwei Zhang, Biying Dong, Jie Chen, Zhenqiang Zhang, Weitong Zeng, Longxiong Liao, Xia Xiong, Xuejun Qin, Xianming Fan   +8 more
wiley   +1 more source

Progress in AB Initio Protein Structure Prediction

The Scientific World Journal, 2002
David Baker
doaj   +1 more source

Systematic analysis of the relationship between fold-dependent flexibility and artificial intelligence protein structure prediction. [PDF]

PLoS One
Haque N, Wagenknecht JB, Ratnasinghe BD, Zimmermann MT.   +3 more
europepmc   +1 more source

Assessment of AI-Based Protein Structure Prediction for the NLRP3 Target. [PDF]

Molecules, 2022
Yin J, Lei J, Yu J, Cui W, Satz AL, Zhou Y, Feng H, Deng J, Su W, Kuai L.   +9 more
europepmc   +1 more source

Prediction of protein structure from amino acid sequence.

, 1986
Michael J.E. Sternberg, F. E. Cohen, W.R. Taylor   +2 more
openalex  

Fully automated ab initio protein structure prediction using I-SITES, HMMSTR and ROSETTA [PDF]

, 2002
Christopher Bystroff, Yu Shao
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

An easy-to-use three-dimensional protein-structure-prediction online platform "DPL3D" based on deep learning algorithms. [PDF]

Curr Res Struct Biol
Gao Y, Wang H, Zhou J, Yang Y.
europepmc   +1 more source