Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules.

A V S, Sai Krishna; Sinha, Swati; Donakonda, Sainitin

A V S, Sai Krishna; Sinha, Swati; Donakonda, Sainitin.

Afiliación

A V S SK; Department of Biotechnology, Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India.
Sinha S; Department of Biotechnology, Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India.
Donakonda S; Institute of Molecular Immunology and Experimental Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.

Comput Struct Biotechnol J ; 20: 4025-4039, 2022.

Article en En | MEDLINE | ID: mdl-35983230

Palabras clave

CRC, Colorectal cancer; Colorectal cancer; DEPs, Differentially expressed proteins; Docking; ELM, Eukaryotic Linear Motif Resource; HCMV, Human Cytomegalovirus; HPV16 and 18, Human papillomavirus; IDR, Intrinsically disordered region; JCV, John Cunningham virus; MM-PBSA, molecular mechanics Poisson Boltzmann surface area; Molecular dynamics; NC, Network centralization; NH, Network heterogeneity; PME, Particle-Mesh Ewald; RMSD, Root-Mean-Square Deviation; RMSF, Root-Mean-Square Fluctuation; SASA, Solvent Accessible Surface Area; SLiMs, Short linear motifs; Small molecules; Virus-host interactions; hbonds, Hydrogen bonds

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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: India

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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: India