✦ LIBER ✦

Stochastic Sensing of TNT with a Genetically Engineered Pore

✍ Scribed by Xiyun Guan; Li-Qun Gu; Stephen Cheley; Orit Braha; Hagan Bayley

Publisher: John Wiley and Sons
Year: 2005
Tongue: English
Weight: 202 KB
Volume: 6
Category: Article
ISSN: 1439-4227
DOI: 10.1002/cbic.200500064

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Genetically Encoded Pore for the Stoch

A Genetically Encoded Pore for the Stochastic Detection of a Protein Kinase

✍ Stephen Cheley; Hongzhi Xie; Hagan Bayley 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 364 KB 👁 1 views

Fermentation of corn starch to ethanol w

Fermentation of corn starch to ethanol with genetically engineered yeast

✍ D. Inlow; J. McRae; A. Ben-Bassat 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 694 KB

Visible Sensing of Nucleic Acid Sequence

Visible Sensing of Nucleic Acid Sequences with a Genetically Encodable Unmodified RNA Probe

✍ Atsushi Narita; Kazumasa Ogawa; Shinsuke Sando; Yasuhiro Aoyama 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 357 KB

Visible Sensing of Nucleic Acid Sequence

Visible Sensing of Nucleic Acid Sequences with a Genetically Encodable Unmodified RNA Probe

✍ Atsushi Narita; Kazumasa Ogawa; Shinsuke Sando; Yasuhiro Aoyama 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 359 KB

Simultaneous degradation of organophosph

Simultaneous degradation of organophosphorus pesticides and p-nitrophenol by a genetically engineered Moraxella sp. with surface-expressed organophosphorus hydrolase

✍ Mark Shimazu; Ashok Mulchandani; Wilfred Chen 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 195 KB 👁 1 views

Application of a stochastic network pore

Application of a stochastic network pore model to oil-bearing rock with observations relevant to oil recovery

✍ R. Mann; G.P. Androutsopoulos; H. Golshan 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 878 KB

Mercury porosimeter experiments have been traditionally used to investigate the pore structure of oil bearing rocks, although interpretation based upon the oversimplified parallel-bundle model is inadequate to explain many practical aspects of oil recovery. A technique for stochastically assigning t