✦ LIBER ✦

In silico network topology-based prediction of gene essentiality

✍ Scribed by João Paulo Müller da Silva; Marcio Luis Acencio; José Carlos Merino Mombach; Renata Vieira; José Camargo da Silva; Ney Lemke; Marialva Sinigaglia

Book ID: 104080296
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 430 KB
Volume: 387
Category: Article
ISSN: 0378-4371
DOI: 10.1016/j.physa.2007.10.044

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Predicting the Proportion of Essential G

Predicting the Proportion of Essential Genes in Mouse Duplicates Based on Biased Mouse Knockout Genes

✍ Zhixi Su; Xun Gu 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 276 KB

ChemInform Abstract: Aqueous Solubility

ChemInform Abstract: Aqueous Solubility Prediction of Drugs Based on Molecular Topology and Neutral Network Modeling.

✍ J. HUUSKONEN; M. SALO; J. TASKINEN 📂 Article 📅 2010 🏛 John Wiley and Sons ⚖ 25 KB 👁 1 views

In silico Prediction of Human Oral Absor

In silico Prediction of Human Oral Absorption Based on QSAR Analyses of PAMPA Permeability

✍ Miki Akamatsu; Masaaki Fujikawa; Kazuya Nakao; Ryo Shimizu 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 382 KB

ChemInform Abstract: In silico Predictio

ChemInform Abstract: In silico Prediction of Human Oral Absorption Based on QSAR Analyses of PAMPA Permeability.

✍ Miki Akamatsu; Masaaki Fujikawa; Kazuya Nakao; Ryo Shimizu 📂 Article 📅 2010 🏛 John Wiley and Sons ⚖ 15 KB 👁 1 views

In Silico Prediction of Two Classes of H

In Silico Prediction of Two Classes of Honeybee Genes with CpG Deficiency or CpG Enrichment and Sorting According to Gene Ontology Classes

✍ Yong Wang; Frederick C. C. Leung 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 674 KB

Neural network-based prediction of trans

Neural network-based prediction of transmembrane β-strand segments in outer membrane proteins

✍ M. Michael Gromiha; Shandar Ahmad; Makiko Suwa 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 76 KB

Prediction of transmembrane beta-strands in outer membrane proteins (OMP) is one of the important problems in computational chemistry and biology. In this work, we propose a method based on neural networks for identifying the membrane-spanning beta-strands. We introduce the concept of "residue proba