QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks-Reference-Cited by-同舟云学术

QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks

Published:2008-12 Issue:16 Volume:29 Page:2613-2622
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J. Comput. Chem.

Author:

Vilar Santiago,González-Díaz Humberto,Santana Lourdes,Uriarte Eugenio

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Reference75 articles.

1. Gender and lung cancer

2. The prognostic significance of proliferating cell nuclear antigen, epidermal growth factor receptor, andmdr gene expression in colorectal cancer

3. Amplified in Breast Cancer 1 in Human Epidermal Growth Factor Receptor–Positive Tumors of Tamoxifen-Treated Breast Cancer Patients

4. Cancer Risk among the Relatives of Patients with Pancreatic Ductal Adenocarcinoma

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Current Trends in Computational Chemistry for Breast Cancer;Letters in Drug Design & Discovery;2023-01

2. Synthesis and Anti-Pancreatic Cancer Activity Studies of Novel 3-Amino-2-hydroxybenzofused 2-Phospha-γ-lactones;ACS Omega;2021-04-23

3. An Analysis Model of Protein Mass Spectrometry Data and its Application;Current Bioinformatics;2021-02-02

4. Identification of Cancer Biomarkers in Human Body Fluids by Using Enhanced Physicochemical-incorporated Evolutionary Conservation Scheme;Current Topics in Medicinal Chemistry;2020-09-18

5. Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks;Scientific Reports;2020-05-22