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102

Modeling drug–RNA interactions: Advances, challenges, and future directions
Hamilton, Russell S.
In Reference Module in Chemistry, Molecular Sciences and Chemical Engineering 2013

Buch
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103

Discovery of a Novel Periodontal Disease-Associated Bacterium
Pedro J. Torres ; John Thompson ; Jeffrey S. McLean ; et al.
Microb Ecol

0301 basic medicine 0303 health sciences Alaska Natives Bacteroidetes Virulence Factors Microbiota …
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105

Designing Enzymes for New Chemical Transformations
Kohn, Anna ; Trimble, Jonathan S. ; Crawshaw, Rebecca ; et al.
In Reference Module in Chemistry, Molecular Sciences and Chemical Engineering 2013

Buch
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106

Discovery of a Novel Periodontal Disease-Associated Bacterium
Torres, Pedro J. ; Thompson, John ; McLean, Jeffrey S. ; et al.
Microbial Ecology, 2019 Jan 01. 77(1), 267-276.

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107

Advanced Protein Engineering for Enhanced Thermostable Xylanases
Hussain, Zahid

for Enhanced Thermostable Xylanases Advanced Protein Engineering
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108

Catalytic residues in hydrolases: analysis of methods designed for ligand-binding site prediction
Prymula, Katarzyna ; Jadczyk, Tomasz ; Roterman-Konieczna, Irena
J Comput Aided Mol Des

0301 basic medicine receiver operating chara... 0303 health sciences Binding Sites Hydrolases Computational Biology …
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109

Locality Analysis: A Nonillion Time Window Problem
Jacob Brock ; Hao Luo ; Chen Ding ; et al.
http://www.cs.rochester.edu/u/hluo/doc/bdaw13.pdf.

Categories and Subject D... Metrics—Performance Meas... Performance Keywords Loc... Metrics Big Data
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110

Data from: Predicting allosteric mutants that increase activity of a major antibiotic resistance enzyme
Latallo, Malgorzata J. ; Cortina, George A. ; Faham, Salem ; et al.

beta lactamase CTX-M9
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111

Information Security in Artificial Intelligence: A Study of the possible intersection
Tagwa Warrag ; Khawla Abd Elmajed
Qatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1.

0202 electrical engineer... 02 engineering and techn... 16. Peace & justice 3. Good health
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114

J Comput Aided Mol Des (2011) 25:117–133 DOI 10.1007/s10822-010-9402-0 Catalytic residues in hydrolases: analysis of methods designed for ligand-binding site prediction
Katarzyna Prymula ; Tomasz Jadczyk ; Irena Roterman ; et al.
ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/08/52/J_Comput_Aided_Mol_Des_2011_Feb_21_25(2)_117-133.tar.gz

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