Modeling of activity of cyclic urea HIV-1 protease inhibitors using regularized-artificial neural networks

Protease Inhibitors ◽

Artificial Neural ◽

Hiv 1

Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks

BMC Bioinformatics ◽

10.1186/s12859-017-1782-x ◽

2017 ◽

Vol 18 (1) ◽

Cited By ~ 11

Author(s):

Olivier Sheik Amamuddy ◽

Nigel T. Bishop ◽

Özlem Tastan Bishop

Keyword(s):

Neural Networks ◽

Reverse Transcriptase ◽

Reverse Transcriptase Inhibitors ◽

Resistance Prediction ◽

Artificial Neural ◽

Hiv 1

HIV-1 Reverse Transcriptase Inhibitor Design Using Artificial Neural Networks

Journal of Medicinal Chemistry ◽

10.1021/jm00042a005 ◽

1994 ◽

Vol 37 (16) ◽

pp. 2520-2526 ◽

Cited By ~ 40

Author(s):

Igor V. Tetko ◽

Vsevolod Yu. Tanchuk ◽

Neliya P. Chentsova ◽

Svetlana V. Antonenko ◽

Gennady I. Poda ◽

...

Keyword(s):

Neural Networks ◽

Reverse Transcriptase ◽

Transcriptase Inhibitor ◽

Inhibitor Design ◽

Artificial Neural ◽

Reverse Transcriptase Inhibitor ◽

Hiv 1

Evaluation of potential HIV-1 reverse transcriptase inhibitors by artificial neural networks

Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS) ◽

10.1109/cbms.1994.316023 ◽

2002 ◽

Cited By ~ 4

Author(s):

I.V. Tetko ◽

V.Yu. Tanchuk ◽

A.I. Luik

Keyword(s):

Neural Networks ◽

Reverse Transcriptase ◽

Reverse Transcriptase Inhibitors ◽

Artificial Neural ◽

Hiv 1

Artificial neural networks: Non-linear QSAR studies of HEPT derivatives as HIV-1 reverse transcriptase inhibitors

Molecular Diversity ◽

10.1023/b:modi.0000006753.11500.37 ◽

2004 ◽

Vol 8 (1) ◽

pp. 1-8 ◽

Cited By ~ 18

Author(s):

Latifa Douali ◽

Didier Villemin ◽

Abdelmajid Zyad ◽

Driss Cherqaoui

Keyword(s):

Neural Networks ◽

Reverse Transcriptase ◽

Reverse Transcriptase Inhibitors ◽

Qsar Studies ◽

Non Linear ◽

Artificial Neural ◽

Hept Derivatives ◽

Hiv 1

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽