Structure-based protein–ligand interaction fingerprints for binding affinity prediction
Binding affinity prediction (BAP) using protein–ligand complex structures is crucial to computer-aided drug design, but remains a challenging problem. To achieve efficient and accurate BAP, machine-learning scoring functions (SFs) based on a wide range of descriptors have been developed. Among those...
Guardado en:
Autores principales: | Debby D. Wang, Moon-Tong Chan, Hong Yan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0eb163c916dc4917b73286811f8c9bd6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Protein-ligand binding affinity prediction model based on graph attention network
por: Hong Yuan, et al.
Publicado: (2021) -
SSR and morphological traits based fingerprints and DNA barcodes for varietal identification in rice
por: Rajappa Harisha, et al.
Publicado: (2021) -
Perillaldehyde inhibits bone metastasis and receptor activator of nuclear factor-κB ligand (RANKL) signaling-induced osteoclastogenesis in prostate cancer cell lines
por: Zhuoyuan Lin, et al.
Publicado: (2021) -
Enhanced Molecular Infrared Spectroscopy Employing Bilayer Graphene Acoustic Plasmon Resonator
por: Chunchao Wen, et al.
Publicado: (2021) -
Silica/Protein and Silica/Polysaccharide Interactions and Their Contributions to the Functional Properties of Derived Hybrid Wound Dressing Hydrogels
por: Monica Mesa, et al.
Publicado: (2021)