Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach for drug discovery.

Hossain, Md Arju; Sohel, Md; Rahman, Md Habibur; Hasan, Md Imran; Khan, Md Sharif; Amin, Md Al; Islam, Md Zahidul; Peng, Silong

Hossain, Md Arju; Sohel, Md; Rahman, Md Habibur; Hasan, Md Imran; Khan, Md Sharif; Amin, Md Al; Islam, Md Zahidul; Peng, Silong.

Afiliação

Hossain MA; Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
Sohel M; Department of Biochemistry and Molecular Biology, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
Rahman MH; Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
Hasan MI; Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
Khan MS; Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
Amin MA; Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
Islam MZ; Department of Electronics, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Peng S; Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China.

PLoS One ; 18(1): e0265746, 2023.

Article em En | MEDLINE | ID: mdl-36608061

Assuntos

Infertilidade Feminina; Neoplasias Ovarianas; Neoplasias da Glândula Tireoide; Humanos; Feminino; Biomarcadores Tumorais/genética; Simulação de Acoplamento Molecular; Neoplasias Ovarianas/tratamento farmacológico; Neoplasias Ovarianas/genética; Neoplasias Ovarianas/metabolismo; Biologia Computacional; Descoberta de Drogas; Perfilação da Expressão Gênica

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Neoplasias da Glândula Tireoide / Infertilidade Feminina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh

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