Gaussian network model can be enhanced by combining solvent accessibility in proteins
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-07677-9
Abstract: Gaussian network model (GNM), regarded as the simplest and most representative coarse-grained model, has been widely adopted to analyze and reveal protein dynamics and functions. Designing a variation of the classical GNM, by defining a… read more here.
Keywords: solvent accessibility; gnm; parameter free; model ... See more keywords
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3195123
Abstract: Tissue segmentation is the mainstay of pathological examination, whereas the manual delineation is unduly burdensome. To assist this time-consuming and subjective manual step, researchers have devised methods to automatically segment structures in pathological images. Recently,… read more here.
Keywords: tissue segmentation; segmentation; gaussian network; constrained gaussian ... See more keywords
PSP-GNM: Predicting Protein Stability Changes upon Point Mutations with a Gaussian Network Model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms231810711
Abstract: Understanding the effects of missense mutations on protein stability is a widely acknowledged significant biological problem. Genomic missense mutations may alter one or more amino acids, leading to increased or decreased stability of the encoded… read more here.
Keywords: protein stability; gaussian network; gnm; psp gnm ... See more keywords