Results 121 to 130 of about 1,014,642 (191)

Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction. [PDF]

Biomolecules, 2022
Guo Y, Wu J, Ma H, Wang S, Huang J.
europepmc   +1 more source

Evaluation of key aroma compounds and protein secondary structure in the roasted Tan mutton during the traditional charcoal process. [PDF]

Front Nutr, 2022
Wang YR, Wang SL, Luo RM.
europepmc   +1 more source

DSSP 4: FAIR annotation of protein secondary structure. [PDF]

Protein Sci
Hekkelman ML, Salmoral DÁ, Perrakis A, Joosten RP.   +3 more
europepmc   +1 more source

Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation. [PDF]

BMC Bioinformatics, 2022
Stapor K, Kotowski K, Smolarczyk T, Roterman I.   +3 more
europepmc   +1 more source

Combining knowledge distillation and neural networks to predict protein secondary structure. [PDF]

Sci Rep
Zhao L, Li J, Zhang B, Jiang X.
europepmc   +1 more source

Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory. [PDF]

Front Bioeng Biotechnol, 2023
Yuan L, Ma Y, Liu Y.
europepmc   +1 more source

Protein Secondary Structure Patterns in Short-Range Cross-Link Atlas. [PDF]

Angew Chem Int Ed Engl
Vetrano A, Di Ianni A, Di Fonte N, Dell'Orletta G, Reale S, Daidone I, Iacobucci C.   +6 more
europepmc   +1 more source

Editorial: Feature Representation and Learning Methods With Applications in Protein Secondary Structure. [PDF]

Front Bioeng Biotechnol, 2021
Yan N, Lv Z, Hong W, Xu X.
europepmc   +1 more source

Transition Dipole Strength as a Quantitative Tool for Protein Secondary Structure Analysis. [PDF]

J Phys Chem B
Cao AL, Weissman LM, Buchanan LE.
europepmc   +1 more source

Changes in the Protein Secondary Structure on the Surface of Silica Nanoparticles with Different Sizes. [PDF]

Langmuir
Sakaguchi N, Onoda A, Omata K, Umezawa M.   +3 more
europepmc   +1 more source