Which of the following is untrue regarding Prediction with Neural Networks?(a) When multiple sequence alignments and neural networks are combined, the result is further improved accuracy(b) A neural network is trained by a single sequence(c) A neural network is trained by a sequence profile derived from the multiple sequence alignment(d) When the sufficiently trained network processes an unknown sequence, it applies the rules learned in training to recognize particular structural patternsThis question was addressed to me in homework.This intriguing question originated from Protein Secondary Structure Predictionfor Globular Proteins topic in section Secondary Structure Prediction of Bioinformatics

Which of the following is untrue regarding Prediction with Neural Netw

1.	Which of the following is untrue regarding Prediction with Neural Networks?(a) When multiple sequence alignments and neural networks are combined, the result is further improved accuracy(b) A neural network is trained by a single sequence(c) A neural network is trained by a sequence profile derived from the multiple sequence alignment(d) When the sufficiently trained network processes an unknown sequence, it applies the rules learned in training to recognize particular structural patternsThis question was addressed to me in homework.This intriguing question originated from Protein Secondary Structure Predictionfor Globular Proteins topic in section Secondary Structure Prediction of Bioinformatics
Answer» The correct answer is (b) A neural network is trained by a SINGLE sequence Best explanation: A neural network is trained not by a single sequence but by a sequence profile derived from the multiple sequence alignment. This combined approach has been shown to improve the accuracy to above 75%, which is a BREAKTHROUGH in secondary structure prediction. The improvement mainly comes from enhanced secondary structure signals through consensus drawing. The FOLLOWING lists several frequently used THIRD generation prediction algorithms available as web servers.

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Which of the following is untrue regarding Prediction with Neural Networks?(a) It has to be first trained by sequences with known structures(b) Between input and output are many connected hidden layers(c) Between the connected hidden layers the machine learning takes place to adjust the mathematical weights of internal connections(d) It doesn’t have to be first trained by sequences with known structuresI got this question during an online exam.Query is from Protein Secondary Structure Predictionfor Globular Proteins in division Secondary Structure Prediction of Bioinformatics
The early algorithms based their prediction on hydrophobicity scales.(a) True(b) FalseThe question was asked in an online quiz.My question is based upon Secondary Structure Prediction for Transmembrane Proteins in chapter Secondary Structure Prediction of Bioinformatics
Which of the following is untrue regarding Prediction with Neural Networks?(a) The third-generation prediction algorithms extensively apply sophisticated neural networks(b) It is used to analyze substitution patterns in multiple sequence alignments(c) It is not a machine learning process(d) It requires a structure of multiple layers of interconnected variables or nodesThe question was posed to me by my school teacher while I was bunking the class.I need to ask this question from Protein Secondary Structure Predictionfor Globular Proteins topic in chapter Secondary Structure Prediction of Bioinformatics
Which of the following is untrue regarding Chou–Fasman and GOR methods?(a) Both are the first-generation methods(b) They are developed in the 1970s,(c) They suffer from the fact that the prediction rules are somewhat arbitrary(d) They are based on single sequence statistics with clear relation to known protein-folding theoriesThe question was asked in an interview for internship.The above asked question is from Protein Secondary Structure Predictionfor Globular Proteins in chapter Secondary Structure Prediction of Bioinformatics
Leucine zipper domains are a special type of coiled coils found in transcription regulatory proteins which contain two anti parallel α-helices held together by hydrophobic interactions of leucine residues.(a) True(b) FalseI got this question in homework.My doubt is from Coiled Coil Prediction in division Secondary Structure Prediction of Bioinformatics
Which of the following is true regarding Coiled coil?(a) They have an integral repeat of twenty residues(b) They have an integral repeat of seven residues(c) They have an integral repeat of thirty residues(d) The sequence periodicity doesn’t contribute in designing algorithms to predict the structural domain.The question was asked in final exam.This intriguing question originated from Coiled Coil Prediction in portion Secondary Structure Prediction of Bioinformatics
Which of the following is untrue regarding Homology-Based Methods?(a) The third generation of algorithms was developed in the late 1990s(b) They were developed by making use of evolutionary information(c) This type of method uses the ab initio secondary structure prediction of individual sequences only(d) This type of method combines the ab initio secondary structure prediction of individual sequences and alignment information from multiple homologous sequences (>35% identity)I have been asked this question in an interview.The above asked question is from Protein Secondary Structure Predictionfor Globular Proteins topic in section Secondary Structure Prediction of Bioinformatics
Prof is not similar to PHD.(a) True(b) FalseI had been asked this question by my college professor while I was bunking the class.This question is from Coiled Coil Prediction topic in section Secondary Structure Prediction of Bioinformatics
Predictions solely based on hydrophobicity profiles have lowest error rates.(a) True(b) FalseThe question was posed to me in quiz.Origin of the question is Secondary Structure Prediction for Transmembrane Proteins topic in division Secondary Structure Prediction of Bioinformatics
Which of the following is untrue regarding PSIPRED?(a) It is a web-based program that predicts protein secondary structures(b) It uses a combination of evolutionary information and neural networks(c) It uses a combination of evolutionary information only(d) The multiple sequence alignment is derived from a PSI-BLAST database searchI have been asked this question in an online interview.Question is from Coiled Coil Prediction in division Secondary Structure Prediction of Bioinformatics

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