Your browser doesn't support javascript.
loading
Inferring Recombination Events in SARS-CoV-2 Variants In Silico.
Najeeb, Nihal; Murukan, Aparna B; Renjitha, Anagha; Jayaram, Malavika; Jabbar, Ayisha A; Haridasan, Haripriya; Prijikumar, Akshara; Baiju, Sneha; Nixon, Adrial Ann; Krishnan, Ponnambil Anantha; Rodriguez, Sunu; Kumar, Somesh; Polipalli, Sunil K; Singh, Keshav K; Nair, Bipin G; Ghate, Sudeep D; Rao, R Shyama Prasad; Kishor, Polavarapu Bilhan Kavi; Aloor, Arya; Suravajhala, Renuka; Chaubey, Gyaneshwer; Suravajhala, Prashanth.
Afiliación
  • Najeeb N; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Murukan AB; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Renjitha A; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Jayaram M; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Jabbar AA; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Haridasan H; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Prijikumar A; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Baiju S; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Nixon AA; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Krishnan PA; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Rodriguez S; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Kumar S; Genome Sequencing Lab, Lok Nayak Hospital, Delhi, India.
  • Polipalli SK; Genome Sequencing Lab, Lok Nayak Hospital, Delhi, India.
  • Singh KK; Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Kaul Genetics Building, Birmingham, AL, USA.
  • Nair BG; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Ghate SD; Center for Bioinformatics, NITTE University, Mangaluru, India.
  • Rao RSP; Center for Bioinformatics, NITTE University, Mangaluru, India.
  • Kishor PBK; Department of Genetics, Osmania University, Hyderabad, India.
  • Aloor A; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Suravajhala R; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
  • Chaubey G; Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
  • Suravajhala P; Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India. prash@am.amrita.edu.
Adv Exp Med Biol ; 1412: 253-270, 2023.
Article en En | MEDLINE | ID: mdl-37378772
Over the last 34 months, at least 10 severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) distinct variants have evolved. Among these, some were more infectious while others were not. These variants may serve as candidates for identification of the signature sequences linked to infectivity and viral transgressions. Based on our previous hijacking and transgression hypothesis, we aimed to investigate whether SARS-CoV-2 sequences associated with infectivity and trespassing of long noncoding RNAs (lncRNAs) provide a possible recombination mechanism to drive the formation of new variants. This work involved a sequence and structure-based approach to screen SARS-CoV-2 variants in silico, taking into account effects of glycosylation and links to known lncRNAs. Taken together, the findings suggest that transgressions involving lncRNAs may be linked with changes in SARS-CoV-2-host interactions driven by glycosylation events.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN Largo no Codificante / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Adv Exp Med Biol Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN Largo no Codificante / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Adv Exp Med Biol Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos