PMC:7219429 / 7335-7605 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T71","span":{"begin":125,"end":130},"obj":"http://purl.obolibrary.org/obo/UBERON_0007688"},{"id":"T72","span":{"begin":151,"end":152},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T73","span":{"begin":183,"end":184},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T74","span":{"begin":231,"end":232},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Energy minimization of each system was then performed with the Polak-Ribière conjugate gradient algorithm, with CHARMM force field in Hyperchem, using a maximum of 3 × 105 steps, and a root-mean-square (RMS) gradient of 0.01 kcal. Å−1.mol−1 as the convergence condition."}

{"project":"LitCovid-sentences","denotations":[{"id":"T57","span":{"begin":0,"end":270},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Energy minimization of each system was then performed with the Polak-Ribière conjugate gradient algorithm, with CHARMM force field in Hyperchem, using a maximum of 3 × 105 steps, and a root-mean-square (RMS) gradient of 0.01 kcal. Å−1.mol−1 as the convergence condition."}