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Mendeley readers
Attention Score in Context
| Title |
Mechanism of lignin inhibition of enzymatic biomass deconstruction
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, December 2015
|
| DOI | 10.1186/s13068-015-0379-8 |
| Pubmed ID | |
| Authors |
Josh V. Vermaas, Loukas Petridis, Xianghong Qi, Roland Schulz, Benjamin Lindner, Jeremy. C. Smith |
| Abstract |
The conversion of plant biomass to ethanol via enzymatic cellulose hydrolysis offers a potentially sustainable route to biofuel production. However, the inhibition of enzymatic activity in pretreated biomass by lignin severely limits the efficiency of this process. By performing atomic-detail molecular dynamics simulation of a biomass model containing cellulose, lignin, and cellulases (TrCel7A), we elucidate detailed lignin inhibition mechanisms. We find that lignin binds preferentially both to the elements of cellulose to which the cellulases also preferentially bind (the hydrophobic faces) and also to the specific residues on the cellulose-binding module of the cellulase that are critical for cellulose binding of TrCel7A (Y466, Y492, and Y493). Lignin thus binds exactly where for industrial purposes it is least desired, providing a simple explanation of why hydrolysis yields increase with lignin removal. |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 232 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 24% |
| Researcher | 34 | 14% |
| Student > Master | 34 | 14% |
| Student > Doctoral Student | 18 | 8% |
| Student > Bachelor | 16 | 7% |
| Other | 44 | 19% |
| Unknown | 34 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 26% |
| Biochemistry, Genetics and Molecular Biology | 29 | 12% |
| Chemistry | 22 | 9% |
| Chemical Engineering | 21 | 9% |
| Engineering | 13 | 5% |
| Other | 36 | 15% |
| Unknown | 54 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 74. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2016.
All research outputs
#574,399
of 25,371,288 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#8
of 1,578 outputs
Outputs of similar age
#9,673
of 396,028 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#2
of 54 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.