Format
Sort by

Send to

Choose Destination

Search results

Items: 1 to 20 of 29

1.

Identifying amyloid pathology-related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study.

Leung YY, Toledo JB, Nefedov A, Polikar R, Raghavan N, Xie SX, Farnum M, Schultz T, Baek Y, Deerlin VV, Hu WT, Holtzman DM, Fagan AM, Perrin RJ, Grossman M, Soares HD, Kling MA, Mailman M, Arnold SE, Narayan VA, Lee VM, Shaw LM, Baker D, Wittenberg GM, Trojanowski JQ, Wang LS.

Alzheimers Dement (Amst). 2015 Sep 1;1(3):339-348.

2.

Head phantoms for transcranial focused ultrasound.

Eames MD, Farnum M, Khaled M, Elias WJ, Hananel A, Snell JW, Kassell NF, Aubry JF.

Med Phys. 2015 Apr;42(4):1518-27. doi: 10.1118/1.4907959.

PMID:
25832042
3.

Sparse generalized functional linear model for predicting remission status of depression patients.

Liu Y, Nie Z, Zhou J, Farnum M, Narayan VA, Wittenberg G, Ye J.

Pac Symp Biocomput. 2014:364-75.

4.

The ADAS-Cog revisited: novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trials.

Raghavan N, Samtani MN, Farnum M, Yang E, Novak G, Grundman M, Narayan V, DiBernardo A; Alzheimer’s Disease Neuroimaging Initiative.

Alzheimers Dement. 2013 Feb;9(1 Suppl):S21-31. doi: 10.1016/j.jalz.2012.05.2187. Epub 2012 Nov 2.

5.

Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

Ye J, Farnum M, Yang E, Verbeeck R, Lobanov V, Raghavan N, Novak G, DiBernardo A, Narayan VA; Alzheimer’s Disease Neuroimaging Initiative.

BMC Neurol. 2012 Jun 25;12:46. doi: 10.1186/1471-2377-12-46.

6.

A novel subject synchronization clinical trial design for Alzheimer's disease.

Schultz T, Yang E, Farnum M, Lobanov V, Verbeeck R, Raghavan N, Samtani MN, Novak G, Shi Y, Narayan V, DiBernardo A.

J Alzheimers Dis. 2012;31(3):507-16. doi: 10.3233/JAD-2012-120286. Review.

PMID:
22614878
7.

Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes.

Samtani MN, Raghavan N, Shi Y, Novak G, Farnum M, Lobanov V, Schultz T, Yang E, DiBernardo A, Narayan VA; Alzheimer's Disease Neuroimaging Initiative.

Br J Clin Pharmacol. 2013 Jan;75(1):146-61. doi: 10.1111/j.1365-2125.2012.04308.x.

8.

Efficient substructure searching of large chemical libraries: the ABCD chemical cartridge.

Agrafiotis DK, Lobanov VS, Shemanarev M, Rassokhin DN, Izrailev S, Jaeger EP, Alex S, Farnum M.

J Chem Inf Model. 2011 Dec 27;51(12):3113-30. doi: 10.1021/ci200413e. Epub 2011 Nov 14.

PMID:
22035187
9.

Quantifying the pathophysiological timeline of Alzheimer's disease.

Yang E, Farnum M, Lobanov V, Schultz T, Verbeeck R, Raghavan N, Samtani MN, Novak G, Narayan V, DiBernardo A; Alzheimer's Disease Neuroimaging Initiative.

J Alzheimers Dis. 2011;26(4):745-53. doi: 10.3233/JAD-2011-110551. Erratum in: J Alzheimers Dis. 2011;27(4):923. Verbeeck, Rudi [added].

PMID:
21694449
10.

An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiative.

Samtani MN, Farnum M, Lobanov V, Yang E, Raghavan N, Dibernardo A, Narayan V; Alzheimer’s Disease Neuroimaging Initiative.

J Clin Pharmacol. 2012 May;52(5):629-44. doi: 10.1177/0091270011405497. Epub 2011 Jun 9.

PMID:
21659625
11.

Broadening access to electronic healthcare databases.

Cepeda MS, Lobanov VS, Farnum M, Weinstein R, Gates P, Agrafiotis DK, Stang P, Berlin JA.

Nat Rev Drug Discov. 2010 Jan;9(1):84. doi: 10.1038/nrd2988-c1. No abstract available.

PMID:
20043030
12.

Advanced biological and chemical discovery (ABCD): centralizing discovery knowledge in an inherently decentralized world.

Agrafiotis DK, Alex S, Dai H, Derkinderen A, Farnum M, Gates P, Izrailev S, Jaeger EP, Konstant P, Leung A, Lobanov VS, Marichal P, Martin D, Rassokhin DN, Shemanarev M, Skalkin A, Stong J, Tabruyn T, Vermeiren M, Wan J, Xu XY, Yao X.

J Chem Inf Model. 2007 Nov-Dec;47(6):1999-2014. Epub 2007 Nov 1.

PMID:
17973472
13.

SAR maps: a new SAR visualization technique for medicinal chemists.

Agrafiotis DK, Shemanarev M, Connolly PJ, Farnum M, Lobanov VS.

J Med Chem. 2007 Nov 29;50(24):5926-37. Epub 2007 Oct 25.

PMID:
17958407
14.

Radial clustergrams: visualizing the aggregate properties of hierarchical clusters.

Agrafiotis DK, Bandyopadhyay D, Farnum M.

J Chem Inf Model. 2007 Jan-Feb;47(1):69-75.

PMID:
17238250
15.

Universal screening methods and applications of ThermoFluor.

Cummings MD, Farnum MA, Nelen MI.

J Biomol Screen. 2006 Oct;11(7):854-63. Epub 2006 Aug 30. Review.

PMID:
16943390
16.

Enzyme classification by ligand binding.

Izrailev S, Farnum MA.

Proteins. 2004 Dec 1;57(4):711-24.

PMID:
15476211
17.

Exploring the nonlinear geometry of protein homology.

Farnum MA, Xu H, Agrafiotis DK.

Protein Sci. 2003 Aug;12(8):1604-12.

18.
19.

Structure and function of alternative proton-relay mutants of dihydrofolate reductase.

David CL, Howell EE, Farnum MF, Villafranca JE, Oatley SJ, Kraut J.

Biochemistry. 1992 Oct 13;31(40):9813-22.

PMID:
1356437
20.

Analysis of hydride transfer and cofactor fluorescence decay in mutants of dihydrofolate reductase: possible evidence for participation of enzyme molecular motions in catalysis.

Farnum MF, Magde D, Howell EE, Hirai JT, Warren MS, Grimsley JK, Kraut J.

Biochemistry. 1991 Dec 10;30(49):11567-79.

PMID:
1747376
Items per page

Supplemental Content

Loading ...
Write to the Help Desk