Amber.
By D. Grimaldi. 2019
474 citations recorded by the source corpus.
David Grimaldi introduces amber and the fossils contained therein.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Paleontology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- Devadasan Velmurugan
- M. Michael Gromiha
- P. Jayaraj
- Nisha Muralidharan
- Venkatesh P. Mysore
- Shiori Sagawa
- David E. Shaw
- Abba E. Leffler
In Genetics
- Devadasan Velmurugan
- M. Michael Gromiha
- P. Jayaraj
- Nisha Muralidharan
- Venkatesh P. Mysore
- Shiori Sagawa
- David E. Shaw
- Abba E. Leffler
In Paleontology
- Devadasan Velmurugan
- M. Michael Gromiha
- P. Jayaraj
- Nisha Muralidharan
- Venkatesh P. Mysore
- Shiori Sagawa
- David E. Shaw
- Abba E. Leffler
Citations in the corpus
- Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19 (2020, methodology): “MD simulations of 100 ns were performed for the complex with three ligands and the free protein using FF14SB and Generalised Amber Force Field (GAFF) in Amber16.”
- How does a small molecule bind at a cryptic binding site? (2021, methodology): “[65] The interaction energy, [ E complex − E protein − E ligand ] / 2, for each snapshot was calculated using igb = 2 and cut = 300.”
- Protein Structure Prediction: Conventional and Deep Learning Perspectives (2021, methodology): “ASTRO-FOLD [85], AMBER [86], CHARMM [83], OPLS [87], UNRES [88], and GROMOS96 [89] employ pure ab initio method for predicting protein structures.”